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His current interests include machine learning, computer perception and vision, mobile robotics, and computational neuroscience. He is the recipient of the 2014 IEEE Neural Network Pioneer Award. He has published over 150 technical papers and book chapters on these topics as well as on neural networks, handwriting recognition, image processing and compression, and VLSI design. His handwriting recognition technology is used by several banks around the world to read checks. His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web, and his image recognition methods are used in deployed systems by companies such as AT&T, Google, Microsoft, NEC, Baidu, and others for document recognition, human-computer interaction, image indexing, and video analytics. He has been on the editorial board of IJCV, IEEE PAMI, IEEE T. Neural Networks, was program chair of CVPR'06, and is chair of ICLR 2013. He is on the science advisory board of Institute for Pure and Applied Mathematics and is the co founder of several technology startups.
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Ravid Shwartz Ziv,Yann LeCun
Entropyno. 3 (2024): 252
IEEE Trans. Pattern Anal. Mach. Intell.no. 3 (2024): 1319-1326
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024): 1-5
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IEEE Transactions on Pattern Analysis and Machine Intelligenceno. 3 (2024): 1319-1326
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