En 🇺🇲: Happy New Year 2021
تۆرکجه 🇮🇷: تزه میلادی اؽل مۆبارک اۆلسون 2021
فارسی 🇮🇷: سال نو میلادی مبارک باد
#سال_نو #تزه_اؽل #میلادی #مبارک #موتلو
#happy #happynewyear #newyear #christmas
https://www.instagram.com/p/CJe43ydlP-B/?igshid=69xtrhbild1k
تۆرکجه 🇮🇷: تزه میلادی اؽل مۆبارک اۆلسون 2021
فارسی 🇮🇷: سال نو میلادی مبارک باد
#سال_نو #تزه_اؽل #میلادی #مبارک #موتلو
#happy #happynewyear #newyear #christmas
https://www.instagram.com/p/CJe43ydlP-B/?igshid=69xtrhbild1k
اگر در حوزه بیومتریک فعالیت می کنید دعوت می شود که در سمینار زیر شرکت کنید.
Dear colleague and friend!
This gentle reminder to hope you will join us for EAB’s FREE 13th lunch time Online Seminar for an intriguing topic delivered by Pr. Adam Czajka: ” Is That Eye Dead or Alive? Recognition of Presentation Attacks in Iris Biometrics ”!
The event will be run virtually on our proprietary BBB Platform on Tuesday January 12, 2021 at 12:30 pm CET.
If you have not done so yet and wish to attend, please pre-register immediately at: https://eab.org/events/registration/235.
Program details are visible here: https://eab.org/events/program/235
با تشکر
جلیل نورمحمدی خیارک
https://xn--r1a.website/Machinelearning_Kartal
Dear colleague and friend!
This gentle reminder to hope you will join us for EAB’s FREE 13th lunch time Online Seminar for an intriguing topic delivered by Pr. Adam Czajka: ” Is That Eye Dead or Alive? Recognition of Presentation Attacks in Iris Biometrics ”!
The event will be run virtually on our proprietary BBB Platform on Tuesday January 12, 2021 at 12:30 pm CET.
If you have not done so yet and wish to attend, please pre-register immediately at: https://eab.org/events/registration/235.
Program details are visible here: https://eab.org/events/program/235
با تشکر
جلیل نورمحمدی خیارک
https://xn--r1a.website/Machinelearning_Kartal
Telegram
Machine learning application (Kartal)
1- Participate in cutting edge research in machine learning applications.
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
مقالات تیمی که دوستان اخیرا در سال 2020 نوشتن برایم جالب بود که باهاتون به اشتراک بگذارم.
البته بنده هم با این تیم با اکثرا اعضاشون افتخار همکاری داشتم. با بعضی ها دوستی با بعضی هاشون کار علمی. بالاخره چون سطح علمی شان برایم ثابت شده هست جا داشت اشتراک بگذارم و از این کار ایده بگیرید و اگر سوالی داشتید نویسنده ها در گروه زیر هست می توانید مطرح کنید اونجا و جواب بگیرید.
https://xn--r1a.website/joinchat/Ndag9EZKfp1bELn8GoeWcA
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection
M Asgari-Chenaghlu, MR Feizi-Derakhshi, MA Balafar, C Motamed
https://arxiv.org/abs/2008.06877 2020
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer
N Nikzad-Khasmakhi, MA Balafar, MR Feizi-Derakhshi, C Motamed
https://arxiv.org/abs/2007.07229 2020
A multimodal deep learning approach for named entity recognition from social media
M Asgari-Chenaghlu, MR Feizi-Derakhshi, L Farzinvash, C Motamed
https://arxiv.org/abs/2001.06888 2020
ExEm: Expert Embedding using dominating set theory with deep learning approaches
N Nikzad-Khasmakhi, MA Balafar, MR Feizi-Derakhshi, C Motamed
https://arxiv.org/abs/2001.08503
https://xn--r1a.website/Machinelearning_Kartal
البته بنده هم با این تیم با اکثرا اعضاشون افتخار همکاری داشتم. با بعضی ها دوستی با بعضی هاشون کار علمی. بالاخره چون سطح علمی شان برایم ثابت شده هست جا داشت اشتراک بگذارم و از این کار ایده بگیرید و اگر سوالی داشتید نویسنده ها در گروه زیر هست می توانید مطرح کنید اونجا و جواب بگیرید.
https://xn--r1a.website/joinchat/Ndag9EZKfp1bELn8GoeWcA
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection
M Asgari-Chenaghlu, MR Feizi-Derakhshi, MA Balafar, C Motamed
https://arxiv.org/abs/2008.06877 2020
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer
N Nikzad-Khasmakhi, MA Balafar, MR Feizi-Derakhshi, C Motamed
https://arxiv.org/abs/2007.07229 2020
A multimodal deep learning approach for named entity recognition from social media
M Asgari-Chenaghlu, MR Feizi-Derakhshi, L Farzinvash, C Motamed
https://arxiv.org/abs/2001.06888 2020
ExEm: Expert Embedding using dominating set theory with deep learning approaches
N Nikzad-Khasmakhi, MA Balafar, MR Feizi-Derakhshi, C Motamed
https://arxiv.org/abs/2001.08503
https://xn--r1a.website/Machinelearning_Kartal
امروز یک سمینار در حوزه بیومتریک بود عنوان اش
Prof. Andrzej Czyzewski from Gdansk University of Technology on: “Verification of Banking Clients Based on Multimodal Biometrics”.
از پرفسور سوال پرسیدم و این جواب رو دادند: که شاید برای کار تحقیقاتی به عنوان ایده جدید به کار بگیرید:
Thank you for your presentation, Have you checked the reliability of the multimodal system which you proposed? 2- How did you use one DNN method for extracting features from all modalities? did you merge all data together or separately? 3- Based on your experience do you think that Iris and face can be good multimodal to use in mobile applications? 4- What kind of method have you used for PAD?
If you ask about the reliability of the whole multimodal system, it was not the target of the first projekt - we focused on reliability of individual modalities and on comparing them. The global effectiveness is the target of the present project. The modalitoes are processed separately. The global decision system, nalely the fusion module will be base on the rules, not on DNN. We just started engineering mobile version of the system. We do not use iris recognition in this context. Presentation attack detection are addressed in face recognition (we use 3D cameras) and coice (Mr. Zaporowski is talking now about this topic). Andrzej Czyzewski
کانال :
https://xn--r1a.website/Machinelearning_Kartal
Prof. Andrzej Czyzewski from Gdansk University of Technology on: “Verification of Banking Clients Based on Multimodal Biometrics”.
از پرفسور سوال پرسیدم و این جواب رو دادند: که شاید برای کار تحقیقاتی به عنوان ایده جدید به کار بگیرید:
Thank you for your presentation, Have you checked the reliability of the multimodal system which you proposed? 2- How did you use one DNN method for extracting features from all modalities? did you merge all data together or separately? 3- Based on your experience do you think that Iris and face can be good multimodal to use in mobile applications? 4- What kind of method have you used for PAD?
If you ask about the reliability of the whole multimodal system, it was not the target of the first projekt - we focused on reliability of individual modalities and on comparing them. The global effectiveness is the target of the present project. The modalitoes are processed separately. The global decision system, nalely the fusion module will be base on the rules, not on DNN. We just started engineering mobile version of the system. We do not use iris recognition in this context. Presentation attack detection are addressed in face recognition (we use 3D cameras) and coice (Mr. Zaporowski is talking now about this topic). Andrzej Czyzewski
کانال :
https://xn--r1a.website/Machinelearning_Kartal
Telegram
Machine learning application (Kartal)
1- Participate in cutting edge research in machine learning applications.
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
چند روز پیش یه سوال در مورد سگمنتیشن پرسیده بودم در یکی از گروه های فعال دیپ لرنینگ جوابی برایش یافتم که دوست داشتم به اشتراک بگذارم:
دوستان سلام
#نرم_افزار انوتیشن برای #سگمنتیشن تصویر که خروجی تصویر بگیریم ازش چی پیشنهاد می دهید؟ خیلی ها رو چک کردم خروجی تصویر نمی دادن. ممنون می شم اشتراک بگذارید.
خیلی ها گفتن که نرم افزاری که خروجی تصویر بده نداریم. ولی من تونستم یک تولز( CVAT )خیلی خوبی پیدا کنم و در لینوکس با موفقعیت ازش خروجی گرفتم.:
نحوه اجرا و نصب :
https://github.com/openvinotoolkit/cvat/blob/develop/cvat/apps/documentation/installation.md#windows-10
کانال:
https://xn--r1a.website/Machinelearning_Kartal
دوستان سلام
#نرم_افزار انوتیشن برای #سگمنتیشن تصویر که خروجی تصویر بگیریم ازش چی پیشنهاد می دهید؟ خیلی ها رو چک کردم خروجی تصویر نمی دادن. ممنون می شم اشتراک بگذارید.
خیلی ها گفتن که نرم افزاری که خروجی تصویر بده نداریم. ولی من تونستم یک تولز( CVAT )خیلی خوبی پیدا کنم و در لینوکس با موفقعیت ازش خروجی گرفتم.:
نحوه اجرا و نصب :
https://github.com/openvinotoolkit/cvat/blob/develop/cvat/apps/documentation/installation.md#windows-10
کانال:
https://xn--r1a.website/Machinelearning_Kartal
مرسی گوگل که آرزومو براورد کردی. دیگه نابینایان عزیز هم می تونند دنیا رو حس کنند.
When I became 22-year old I start thinking of a #machine to help blind people I couldn't achieve. But it was always a dream for me to do it.Thanks,
@Google
for making my wishes true.
Google AI to create a set of AI-powered spectacles that help blind and visually-impaired people to see. The glasses extract visual information about images of people, belongings, and public transport, and then speak about them out loud. Let’s have a brief discussion on this technique. Reference :
https://www.i2tutorials.com/googles-artificial-intelligence-powered-smart-glasses-help-the-blind-to-see/?fbclid=IwAR3nsRIyxQiVj6tFWARk9qzt_opii-PiDC5t6A7J05uLWTLU8nB9zIcTNtI
#python #machinelearning #artificialintelligence #datascience #computervision #googleAI
#AIpoweredspectacles #blind #impairedpeople #software #opticalcharacterrecognition
کانال:
https://xn--r1a.website/Machinelearning_Kartal
When I became 22-year old I start thinking of a #machine to help blind people I couldn't achieve. But it was always a dream for me to do it.Thanks,
for making my wishes true.
Google AI to create a set of AI-powered spectacles that help blind and visually-impaired people to see. The glasses extract visual information about images of people, belongings, and public transport, and then speak about them out loud. Let’s have a brief discussion on this technique. Reference :
https://www.i2tutorials.com/googles-artificial-intelligence-powered-smart-glasses-help-the-blind-to-see/?fbclid=IwAR3nsRIyxQiVj6tFWARk9qzt_opii-PiDC5t6A7J05uLWTLU8nB9zIcTNtI
#python #machinelearning #artificialintelligence #datascience #computervision #googleAI
#AIpoweredspectacles #blind #impairedpeople #software #opticalcharacterrecognition
کانال:
https://xn--r1a.website/Machinelearning_Kartal
i2tutorials
Google’s Artificial Intelligence powered smart glasses help the blind to see | i2tutorials
One of the important organs in our body is eyes. If we are blind, we cannot see and feel the beautiful creature of god. For few people is not possible to see even after a surgery, but Google AI created smart glasses help the blind to see.
Forwarded from Omid
Its my honor to serve #tensorflow user group community as Azerbaijan, as speaker on cutting edge research in #Tensorflow. This event is scheduled as follow:
(6th March)
5.45PM - Keynote .
6.00PM - What’s New in TensorFlow 2.4? Sergii Khomenko , #Stylight
6.40PM - Introduction to On-device Machine Learning Karthik Muthuswamy , #sap
7.20PM - NLP using Tensorflow HUB Luiz GUStavo Martins, from #Google
8.00PM - Zero to Hero with TensorFlow Josh Gordon , from #Google
8.45PM - Cutting Edge Research in TensorFlow , me :) , #IBAR
9.30PM - Superpowers with TensorFlow.js , Jason Mayes , from #Google.
(+4GMT, baku time.)
Special thanks for supporting this event by The International Bank of Azerbaijan. Specially :
Nihat Şenyuva Mustafa Basarir Zaur Alakbarov Leyla Hajieva Zara Ibrahimzade and many others. Last but not least Nijat Zeynalov and #Tensorflow community and #google developers group.
Event Link on Google:
https://lnkd.in/eU6MgE9
Registration Form:
https://lnkd.in/eZKaXJp
Event link on Linkedin:
https://lnkd.in/eNVDzGX
(6th March)
5.45PM - Keynote .
6.00PM - What’s New in TensorFlow 2.4? Sergii Khomenko , #Stylight
6.40PM - Introduction to On-device Machine Learning Karthik Muthuswamy , #sap
7.20PM - NLP using Tensorflow HUB Luiz GUStavo Martins, from #Google
8.00PM - Zero to Hero with TensorFlow Josh Gordon , from #Google
8.45PM - Cutting Edge Research in TensorFlow , me :) , #IBAR
9.30PM - Superpowers with TensorFlow.js , Jason Mayes , from #Google.
(+4GMT, baku time.)
Special thanks for supporting this event by The International Bank of Azerbaijan. Specially :
Nihat Şenyuva Mustafa Basarir Zaur Alakbarov Leyla Hajieva Zara Ibrahimzade and many others. Last but not least Nijat Zeynalov and #Tensorflow community and #google developers group.
Event Link on Google:
https://lnkd.in/eU6MgE9
Registration Form:
https://lnkd.in/eZKaXJp
Event link on Linkedin:
https://lnkd.in/eNVDzGX
Scientist Geoffrey Hinton has a new paper on how to represent part-whole hierarchies in neural networks. it should significantly improve the interpretability of the representations. https://arxiv.org/pdf/2102.12627.pdf
#MachineLearning #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #biometrics #facerecognition #iris_recognition #IoT #IIoT #Industry40 #SmartFactory #IntelligentAutomation #SmartHome #SmartCities #Automation #5G #AR #VR #EdgeComputing #ML #RPA #WomenInTech #100DaysOfCode #Flutter #technology
کانال:
https://xn--r1a.website/Machinelearning_Kartal
#MachineLearning #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #biometrics #facerecognition #iris_recognition #IoT #IIoT #Industry40 #SmartFactory #IntelligentAutomation #SmartHome #SmartCities #Automation #5G #AR #VR #EdgeComputing #ML #RPA #WomenInTech #100DaysOfCode #Flutter #technology
کانال:
https://xn--r1a.website/Machinelearning_Kartal
Telegram
Machine learning application (Kartal)
1- Participate in cutting edge research in machine learning applications.
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
Greetings! IEEE Rourkela Subsection is hosting an IEEE DL talk on "Face Recognition: Learning from biological deep networks" by Prof. Massimo Tistarelli organized (details below). I request you to join with your students and peers. No registration is required and anyone can attend using the WebEx link below. It would subsequently help us in getting involved in IEEE Biometrics Council activities and spreading the field of study to greater extent. Your presence is highly appreciated for this DL along with your students and peers from your laboratory.
We are subsequently planning for a one-day Biometrics Forum shortly endorsed by IEEE Biometrics Council. It will showcase 3-4 IEEE distinguished lectures as well as will be a great platform for networking where we will set up plan for hosting different special issues and different special sessions in IEEE flagship conferences. I will keep you posted for the same.
=========================================
Call for participation:
IEEE Distinguished Lecture Series 2021 talk on "Face Recognition: Learning from biological deep networks" by Prof. Massimo Tistarelli, University of Sassari, Italy
Organized by IEEE Rourkela Subsection, sponsored by IEEE Biometrics Council
Date and time: 18 Mar 2021 @09:30AM Paris Time | 02:00PM IST (convert to your local time)
Event detail: https://events.vtools.ieee.org/m/263693 (No registration required, IEEE and Non-IEEE members can join)
WebEx Joining link: https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m372eb31c706efb7a5186d52cd73826c8
کانال:
https://xn--r1a.website/Machinelearning_Kartal
We are subsequently planning for a one-day Biometrics Forum shortly endorsed by IEEE Biometrics Council. It will showcase 3-4 IEEE distinguished lectures as well as will be a great platform for networking where we will set up plan for hosting different special issues and different special sessions in IEEE flagship conferences. I will keep you posted for the same.
=========================================
Call for participation:
IEEE Distinguished Lecture Series 2021 talk on "Face Recognition: Learning from biological deep networks" by Prof. Massimo Tistarelli, University of Sassari, Italy
Organized by IEEE Rourkela Subsection, sponsored by IEEE Biometrics Council
Date and time: 18 Mar 2021 @09:30AM Paris Time | 02:00PM IST (convert to your local time)
Event detail: https://events.vtools.ieee.org/m/263693 (No registration required, IEEE and Non-IEEE members can join)
WebEx Joining link: https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m372eb31c706efb7a5186d52cd73826c8
کانال:
https://xn--r1a.website/Machinelearning_Kartal
events.vtools.ieee.org
IEEE Distinguished Lecture Series 2021 talk on "Face Recognition: Learning from biological deep networks" by Prof. Massimo Tistarelli…
IEEE Distinguished Lecture Series 2021 talk on "Face Recognition: Learning from biological deep networks" by Prof. Massimo Tistarelli, 18 March 2021 02:00 PM to 03:00 PM (Asia/Kolkata), Location:
Forwarded from Deep learning channel (Mohsen)
HVU2021 Call for paper
We present the Second International Workshop On Large Scale Holistic Video Understanding in conjunction with CVPR 2021. Holistic Video Understanding is a joint project of the KU Leuven, University of Bonn, KIT, ETH, and the HVU team.
We hope that HVU workshop establishes a video benchmark integrating joint recognition of all the semantic concepts, as a single class label per task is often not sufficient to describe the holistic content of a video. Further we invite the community to help to extend the HVU dataset that will spur research in video understanding as a comprehensive, multi-faceted problem.
We welcome contributions fitting the following research topics: Large scale video understanding; Multi-Modal learning from videos; Multi concept recognition from videos; Multi task deep neural networks for videos; Learning holistic representation from videos; Weakly supervised learning from web videos; Object, scene and event recognition from videos; Unsupervised video visual representation learning; Unsupervised and self-supervised learning with videos. Paper Submission
• Paper submission begins, Fabuary 20
• Paper submission deadline, March 31
• For more information visit: https://holistic-video-understanding.github.io/workshops/cvpr2021.html
• CMT submission website: https://cmt3.research.microsoft.com/HVU2021
Important dates
• Full Paper Deadline: March 31
• Notification of Acceptance: April 14
• Camera-ready Version: April 18
• Workshop date: TBA
Keynote Speakers
• Cordelia Schmid (Google AI)
• Joao Carreira (Google DeepMind)
• Carl Vondrick (Columbia University)
• Dima Damen (University of Bristol)
• Sanja Fidler (University of Toronto)
• Kristen Grauman (University of Texas at Austin)
Highlights
• TBD
If you have any questions, please contact us at https://twitter.com/LSHVU, over at https://github.com/holistic-video-understanding, or write to fayyaz@iai.uni-bonn.de.
Please feel free to forward this email to those who might be interested. We are looking forward to your HVU submissions!
Sincerely, The HVU 2021 Chairs
• Mohsen Fayyaz (University of Bonn)
• Vivek Sharm (MIT and Harvard)
• Ali Diba (KU Leuven)
• Luc Van Gool (ETH Zurich)
• Juergen Gall (University of Bonn)
• Ehsan Adeli (Stanford Vision and Learning)
• David Ross (Google AI)
• Rainer Stiefelhagen (Karlsruher Institut for Technology)
• Manohar Paluri (Facebook)
We present the Second International Workshop On Large Scale Holistic Video Understanding in conjunction with CVPR 2021. Holistic Video Understanding is a joint project of the KU Leuven, University of Bonn, KIT, ETH, and the HVU team.
We hope that HVU workshop establishes a video benchmark integrating joint recognition of all the semantic concepts, as a single class label per task is often not sufficient to describe the holistic content of a video. Further we invite the community to help to extend the HVU dataset that will spur research in video understanding as a comprehensive, multi-faceted problem.
We welcome contributions fitting the following research topics: Large scale video understanding; Multi-Modal learning from videos; Multi concept recognition from videos; Multi task deep neural networks for videos; Learning holistic representation from videos; Weakly supervised learning from web videos; Object, scene and event recognition from videos; Unsupervised video visual representation learning; Unsupervised and self-supervised learning with videos. Paper Submission
• Paper submission begins, Fabuary 20
• Paper submission deadline, March 31
• For more information visit: https://holistic-video-understanding.github.io/workshops/cvpr2021.html
• CMT submission website: https://cmt3.research.microsoft.com/HVU2021
Important dates
• Full Paper Deadline: March 31
• Notification of Acceptance: April 14
• Camera-ready Version: April 18
• Workshop date: TBA
Keynote Speakers
• Cordelia Schmid (Google AI)
• Joao Carreira (Google DeepMind)
• Carl Vondrick (Columbia University)
• Dima Damen (University of Bristol)
• Sanja Fidler (University of Toronto)
• Kristen Grauman (University of Texas at Austin)
Highlights
• TBD
If you have any questions, please contact us at https://twitter.com/LSHVU, over at https://github.com/holistic-video-understanding, or write to fayyaz@iai.uni-bonn.de.
Please feel free to forward this email to those who might be interested. We are looking forward to your HVU submissions!
Sincerely, The HVU 2021 Chairs
• Mohsen Fayyaz (University of Bonn)
• Vivek Sharm (MIT and Harvard)
• Ali Diba (KU Leuven)
• Luc Van Gool (ETH Zurich)
• Juergen Gall (University of Bonn)
• Ehsan Adeli (Stanford Vision and Learning)
• David Ross (Google AI)
• Rainer Stiefelhagen (Karlsruher Institut for Technology)
• Manohar Paluri (Facebook)
Microsoft
Conference Management Toolkit - Login
Microsoft's Conference Management Toolkit is a hosted academic conference management system. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT.
Deep learning channel
HVU2021 Call for paper We present the Second International Workshop On Large Scale Holistic Video Understanding in conjunction with CVPR 2021. Holistic Video Understanding is a joint project of the KU Leuven, University of Bonn, KIT, ETH, and the HVU team.…
فکر کنم گروهی علمی در دنیا دیگه نباشه که توش ایرانی نباشه 😭😭😭 حیف این متخصصان که در داخل کشور جایگاه ندارند.
Deep learning channel
HVU2021 Call for paper We present the Second International Workshop On Large Scale Holistic Video Understanding in conjunction with CVPR 2021. Holistic Video Understanding is a joint project of the KU Leuven, University of Bonn, KIT, ETH, and the HVU team.…
ورکشاپ معتبر و عالی برای ارسال مقالات ارزشمند زمینه انالیز ویدیو
دوستان سلام تصمیم دارم مثله گذشته در مسابقات بیومتریک شرکت کنم. تا بحال دو بار شرکت کردیم و حاصل دو تا مقاله ارزشمند و پر سایتشن خور شده که در لینک زیر می توانید مشاهده بفرمائید:
https://scholar.google.com/citations?user=_I3xMO8AAAAJ&hl=en
در حال حاضر چندین مسابقه علمی و کد زنی که نتیجه جایزه نقدی و پابلیش پیپر هست در حال برگزاری هست و اگر تمایل داشتید می تونیم در سه حوزه از این مسابقه باهم همکاری کنیم. لینک مسابقه :
http://ijcb2021.iapr-tc4.org/competitions/?fbclid=IwAR0_iZhlf7XwcfdJnqXs-Q_a77oFTvIPmM5nzZIuWVpr_lAd-LOUqIYqcTs
عناوینی که قصد شرکت در آن دارم به شرح زیر هست:
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization (NIR-ISL 2021)
عنوان بعدی
Liveness Detection Competition – Face (LivDet-Face 2021)
و
Human Identification at a Distance 2021 (HID 2021)
دوستان اگر تمایل به همکاری داشتند به بنده اعلام کنند تا تیم را تشکیل دهیم. با تشکر
لطفا با دوستان خود به اشتراک بگذارید.
لطفا جهت هماهنگی به ای دی زیر پیام بدهید:
@Kartal_jnkh
کانال:
https://xn--r1a.website/Machinelearning_Kartal
https://scholar.google.com/citations?user=_I3xMO8AAAAJ&hl=en
در حال حاضر چندین مسابقه علمی و کد زنی که نتیجه جایزه نقدی و پابلیش پیپر هست در حال برگزاری هست و اگر تمایل داشتید می تونیم در سه حوزه از این مسابقه باهم همکاری کنیم. لینک مسابقه :
http://ijcb2021.iapr-tc4.org/competitions/?fbclid=IwAR0_iZhlf7XwcfdJnqXs-Q_a77oFTvIPmM5nzZIuWVpr_lAd-LOUqIYqcTs
عناوینی که قصد شرکت در آن دارم به شرح زیر هست:
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization (NIR-ISL 2021)
عنوان بعدی
Liveness Detection Competition – Face (LivDet-Face 2021)
و
Human Identification at a Distance 2021 (HID 2021)
دوستان اگر تمایل به همکاری داشتند به بنده اعلام کنند تا تیم را تشکیل دهیم. با تشکر
لطفا با دوستان خود به اشتراک بگذارید.
لطفا جهت هماهنگی به ای دی زیر پیام بدهید:
@Kartal_jnkh
کانال:
https://xn--r1a.website/Machinelearning_Kartal
Google
Jalil Nourmohammadi Khiarak
Former Research Assistant, Warsaw University of Technology - Cited by 258 - Biometrics - Deep learning - Computer Vision
#فاجعه
#نخبه
#دانشمند
#دانشگاه
#علم
#عالم
دلسوزان کشور بیدار شوید به خدا فاجعه داره رخ می ده. فاجعه ای به نام خروج دانشمندان از کشور
یک دانشگاه از فلاند اپلای کرده بودم برای پوزیشن ای ... دیدم از 34 نفر کاندید 15 نفر ایرانی هست. این یعنی ننگ بر تو باد مسئول که حواست به این نخبه ها نیست و داری از چین همه چی وارد می کنی این یعنی ننگ بر تو باد که مملکت بهشت رو کردی جهنم برای نخبه ها...
هر یک از این نخبه ها کافیه یک میلیارد تومن وام بی بهره بگیرن هر کدام یک ایده با حمایت دولت بزنن ایران نه تنها بهشت می شه بلکه تبدیل به قدرت بزرگ جهانی می شود. ننگ بر تو که بر سر انرزی اتمی گیر کرده ای و بقیه موارد رو فراموش کردی...
بیدار شو اینقدر به احمق ها میدان ندهید این قدر از نخبه ها بیزار نباشید. به خدا نخبه ها و دانشمندان دنیا رو تا اینجا رساندند نه نماز خوان ها و کلیسایی ها...
بزارید هر کس به دین خودش باشه همانطور که پیامبر اکرم چنین کرد . مملکت مدیریت صحیح می خواد مملکت یک مدیر صحیح می خواد.
من سینه ام از اینکه چرا فرصت ها از نخبه های داخلی گرفته می شود به درد میایید و این حرف های درد ها از سینه پر از حرف هست. بیدار شوید نزارید مملکت ویران شود حیف هست حیف هست ایران اباد تبدیل به عراق و یمن و کره شمالی شود. ایران عزتمند حق همه مردم هست و زندگی شاد حق همه انسان های روی ایران زمین.
با تشکر
جلیل نورمحمدی خیارک
کانال:
https://xn--r1a.website/Machinelearning_Kartal
#نخبه
#دانشمند
#دانشگاه
#علم
#عالم
دلسوزان کشور بیدار شوید به خدا فاجعه داره رخ می ده. فاجعه ای به نام خروج دانشمندان از کشور
یک دانشگاه از فلاند اپلای کرده بودم برای پوزیشن ای ... دیدم از 34 نفر کاندید 15 نفر ایرانی هست. این یعنی ننگ بر تو باد مسئول که حواست به این نخبه ها نیست و داری از چین همه چی وارد می کنی این یعنی ننگ بر تو باد که مملکت بهشت رو کردی جهنم برای نخبه ها...
هر یک از این نخبه ها کافیه یک میلیارد تومن وام بی بهره بگیرن هر کدام یک ایده با حمایت دولت بزنن ایران نه تنها بهشت می شه بلکه تبدیل به قدرت بزرگ جهانی می شود. ننگ بر تو که بر سر انرزی اتمی گیر کرده ای و بقیه موارد رو فراموش کردی...
بیدار شو اینقدر به احمق ها میدان ندهید این قدر از نخبه ها بیزار نباشید. به خدا نخبه ها و دانشمندان دنیا رو تا اینجا رساندند نه نماز خوان ها و کلیسایی ها...
بزارید هر کس به دین خودش باشه همانطور که پیامبر اکرم چنین کرد . مملکت مدیریت صحیح می خواد مملکت یک مدیر صحیح می خواد.
من سینه ام از اینکه چرا فرصت ها از نخبه های داخلی گرفته می شود به درد میایید و این حرف های درد ها از سینه پر از حرف هست. بیدار شوید نزارید مملکت ویران شود حیف هست حیف هست ایران اباد تبدیل به عراق و یمن و کره شمالی شود. ایران عزتمند حق همه مردم هست و زندگی شاد حق همه انسان های روی ایران زمین.
با تشکر
جلیل نورمحمدی خیارک
کانال:
https://xn--r1a.website/Machinelearning_Kartal
Telegram
Machine learning application (Kartal)
1- Participate in cutting edge research in machine learning applications.
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
تۆرکجه 🇮🇷: آن چۆخ گۆزل بایراملیغ منه بو ایل بو اولدی کی بوگۆن منیم H10 index ایم اولدی بیر . امید واریم کی بو اؽل چۆخ تر گده اوسته ... 💪💪💪💪🥰🥰🥰
سیزین بایراملیغ نمنه اولدی؟؟
EN 🇺🇲: The best gift for my new year was achieving to H10 index equal 1, hope to publish more paper this year.
فارسی 🇮🇷: بهترین عیدی که گرفتم رسیدن H10 index ام به یک بود و امیدوارم که بتونم مقالات زیادی چاپ کنم امسال.
شما چه عیدی گرفتید؟؟
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#مقاله #عید #بایرام #سال_نو #نوروز #پیروز #کارتال_اۇل #علم #پیشرفت #ایران #آذربایجان #۱۴۰۰ #نویسندگی #یازیچی #تۆرکجه #انگلیسی #اپلای #خارج #لهستان #دوست
@rana.valizadeh @zamani.yashar @jamali.shahram @razmi.behrouz @azarijahromi @rana__pmd @cinamotamed @sina_kanka @mehdi_noormohammadik @sajjad__naghizadeh @farhangjaryani @vahab64a @reyman87 @eskandari_hadii @mr.maleki1908 @prof.shayeghi @lexfridman @faradars @ictardabil @tabriz_ict @wa.ict @gilan_ict
کانال
@machinelearning_kartal
سیزین بایراملیغ نمنه اولدی؟؟
EN 🇺🇲: The best gift for my new year was achieving to H10 index equal 1, hope to publish more paper this year.
فارسی 🇮🇷: بهترین عیدی که گرفتم رسیدن H10 index ام به یک بود و امیدوارم که بتونم مقالات زیادی چاپ کنم امسال.
شما چه عیدی گرفتید؟؟
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#مقاله #عید #بایرام #سال_نو #نوروز #پیروز #کارتال_اۇل #علم #پیشرفت #ایران #آذربایجان #۱۴۰۰ #نویسندگی #یازیچی #تۆرکجه #انگلیسی #اپلای #خارج #لهستان #دوست
@rana.valizadeh @zamani.yashar @jamali.shahram @razmi.behrouz @azarijahromi @rana__pmd @cinamotamed @sina_kanka @mehdi_noormohammadik @sajjad__naghizadeh @farhangjaryani @vahab64a @reyman87 @eskandari_hadii @mr.maleki1908 @prof.shayeghi @lexfridman @faradars @ictardabil @tabriz_ict @wa.ict @gilan_ict
کانال
@machinelearning_kartal
Great talk, I have listened twice. Happy birthday to you dear scientist Andrew Ng @andrewyng .
I completely agree with your comment. Most fields have been suffered because of fewer data. According to my little experience, It is hard to collect data for biometric recognition systems and for the structure of individual molecules. For sure there is a bunch of these applications which are not easy to collect more data. However, I would like to mention algorithm developments in terms of interpretability machine learning. We have great neural networks but we still cannot trust the existing methods in high-risk applications.
Again thank you scientist Andrew Ng. It is a great pleasure to watch your updates about AI.
Best Regards
Jalil Nourmohammadi Khiarak
#machinelearning #ai #datascience #deeplearning #deeplearning #artificialintelligence #neuralnetworks #neuralnetworks #data #bigdata #ml #thankyou #analytics #dataanalytics #algorithms #experience #biometrics #facerecognition #medicalimaging
https://www.youtube.com/watch?v=06-AZXmwHjo
کانال:
https://xn--r1a.website/Machinelearning_Kartal
I completely agree with your comment. Most fields have been suffered because of fewer data. According to my little experience, It is hard to collect data for biometric recognition systems and for the structure of individual molecules. For sure there is a bunch of these applications which are not easy to collect more data. However, I would like to mention algorithm developments in terms of interpretability machine learning. We have great neural networks but we still cannot trust the existing methods in high-risk applications.
Again thank you scientist Andrew Ng. It is a great pleasure to watch your updates about AI.
Best Regards
Jalil Nourmohammadi Khiarak
#machinelearning #ai #datascience #deeplearning #deeplearning #artificialintelligence #neuralnetworks #neuralnetworks #data #bigdata #ml #thankyou #analytics #dataanalytics #algorithms #experience #biometrics #facerecognition #medicalimaging
https://www.youtube.com/watch?v=06-AZXmwHjo
کانال:
https://xn--r1a.website/Machinelearning_Kartal
YouTube
A Chat with Andrew on MLOps: From Model-centric to Data-centric AI
In this event, Dr.Andrew Ng shared the skills he sees as fundamental to the next generation of machine learning practitioners, and followed with a Q&A.
Let us know what you think of the presentation by filling out a quick survey at http://bit.ly/30yeWuO…
Let us know what you think of the presentation by filling out a quick survey at http://bit.ly/30yeWuO…
این ارائه برای بچه هایی که روی تشخیص حمله ها برای بیومتریک کار می کنند توصیه می شود.:
Our colleague Sebastien Marcel, head of our Biometrics Security & Privacy group, is speaking during the IFI colloquium talks organized by the Department of Informatics of University of Zurich.
The title of his talk is «Multi-spectral Face Biometric Presentation Attack Detection»
The talk is in English and takes place on Thursday 03.06.2021 from 5.15 to 6.30 p.m. virtually in Zoom.
If you're interested, please register by email
▶️ studies@ifi.uzh.ch
Details
▶️ https://lnkd.in/d5w5p9z
Our Biometrics Security & Privacy group
▶️ https://lnkd.in/dSFzUwq
#biometrics #security #privacy #multispectral #ai #artificialintelligence #innovation #talk #colloquium
کانال:
https://xn--r1a.website/Machinelearning_Kartal
Our colleague Sebastien Marcel, head of our Biometrics Security & Privacy group, is speaking during the IFI colloquium talks organized by the Department of Informatics of University of Zurich.
The title of his talk is «Multi-spectral Face Biometric Presentation Attack Detection»
The talk is in English and takes place on Thursday 03.06.2021 from 5.15 to 6.30 p.m. virtually in Zoom.
If you're interested, please register by email
▶️ studies@ifi.uzh.ch
Details
▶️ https://lnkd.in/d5w5p9z
Our Biometrics Security & Privacy group
▶️ https://lnkd.in/dSFzUwq
#biometrics #security #privacy #multispectral #ai #artificialintelligence #innovation #talk #colloquium
کانال:
https://xn--r1a.website/Machinelearning_Kartal
www.ifi.uzh.ch
Spring Term 2021
معرفی چند ژورنال معتبر بیومتریک:
IET Biometrics (2047-4938)
International Journal of Biometrics (1755-8301)
Biometric Technology Today (0969-4765)
Pattern Recognition (0031-3203)
کانال:
https://xn--r1a.website/Machinelearning_Kartal
IET Biometrics (2047-4938)
International Journal of Biometrics (1755-8301)
Biometric Technology Today (0969-4765)
Pattern Recognition (0031-3203)
کانال:
https://xn--r1a.website/Machinelearning_Kartal
Telegram
Machine learning application (Kartal)
1- Participate in cutting edge research in machine learning applications.
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
2- Apply your expertise in biometrics, Natural Language Processing, computer vision and real-time data mining solutions.
Admin: @Kartal_ai (https://xn--r1a.website/Kartal_ai )
Forwarded from Majid Heidari
سلام
دوره زیر از یودمی به مدت محدود رایگان شده :
www.udemy.com/course/data-science-for-algorithmic-trading-bot-included/?couponCode=D5CB6ED79898B187E3C8
دوره زیر از یودمی به مدت محدود رایگان شده :
www.udemy.com/course/data-science-for-algorithmic-trading-bot-included/?couponCode=D5CB6ED79898B187E3C8
Udemy
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