Yann LeCun - Publications

Affiliations: 
Courant Institute/Center for Neural Science, NYU, New York, NY, United States 
Area:
machine learning, computational neuroscience, computer vision

101 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Wu C, Tygert M, LeCun Y. A hierarchical loss and its problems when classifying non-hierarchically. Plos One. 14: e0226222. PMID 31856228 DOI: 10.1371/journal.pone.0226222  0.4
2016 Tygert M, Bruna J, Chintala S, LeCun Y, Piantino S, Szlam A. A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Computation. 1-11. PMID 26890348 DOI: 10.1162/NECO_a_00824  0.4
2015 LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 521: 436-44. PMID 26017442 DOI: 10.1038/nature14539  1
2015 Bruna J, Sprechmann P, Lecun Y. Source separation with scattering Non-Negative Matrix Factorization Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2015: 1876-1880. DOI: 10.1109/ICASSP.2015.7178296  1
2015 Ranzato M’, Hinton G, LeCun Y. Guest Editorial: Deep Learning International Journal of Computer Vision. 113: 1-2. DOI: 10.1007/s11263-015-0813-1  1
2015 Sprechmann P, Bruna J, LeCun Y, Lecun Y. Audio source separation with discriminative scattering networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9237: 259-267. DOI: 10.1007/978-3-319-22482-4_30  1
2015 Jain A, Tompson J, LeCun Y, Bregler C. MoDeep: A deep learning framework using motion features for human pose estimation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9004: 302-315. DOI: 10.1007/978-3-319-16808-1_21  1
2015 Couprie C, Farabet C, Najman L, LeCun Y. Convolutional nets and watershed cuts for real-time semantic labeling of RGBD videos Journal of Machine Learning Research. 15: 3489-3511.  1
2015 Choromanska A, Henaff M, Mathieu M, Arous GB, LeCun Y. The loss surfaces of multilayer networks Journal of Machine Learning Research. 38: 192-204.  1
2014 Tompson J, Stein M, Lecun Y, Perlin K. Real-time continuous pose recovery of human hands using convolutional networks Acm Transactions On Graphics. 33. DOI: 10.1145/2629500  1
2014 Tompson J, Jain A, LeCun Y, Bregler C. Joint training of a convolutional network and a graphical model for human pose estimation Advances in Neural Information Processing Systems. 2: 1799-1807.  1
2014 Denton E, Zaremba W, Bruna J, LeCun Y, Fergus R. Exploiting linear structure within convolutional networks for efficient evaluation Advances in Neural Information Processing Systems. 2: 1269-1277.  1
2014 Bruna J, Szlam A, Lecun Y. Signal recovery from pooling representations 31st International Conference On Machine Learning, Icml 2014. 2: 1585-1598.  1
2013 Farabet C, Couprie C, Najman L, Lecun Y. Learning hierarchical features for scene labeling. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1915-29. PMID 23787344 DOI: 10.1109/TPAMI.2012.231  1
2013 Muller UA, Jackel LD, Lecun Y, Flepp B. Real-time adaptive o-road vehicle navigation and terrain classification Proceedings of Spie - the International Society For Optical Engineering. 8741. DOI: 10.1117/12.2015533  1
2013 Couprie C, Farabet C, Lecun Y, Najman L. Causal graph-based video segmentation 2013 Ieee International Conference On Image Processing, Icip 2013 - Proceedings. 4249-4253. DOI: 10.1109/ICIP.2013.6738875  1
2013 Sermanet P, Kavukcuoglu K, Chintala S, Lecun Y. Pedestrian detection with unsupervised multi-stage feature learning Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3626-3633. DOI: 10.1109/CVPR.2013.465  1
2013 Humphrey EJ, Bello JP, Lecun Y. Feature learning and deep architectures: New directions for music informatics Journal of Intelligent Information Systems. 41: 461-481. DOI: 10.1007/s10844-013-0248-5  1
2013 Vatanen T, Raiko T, Valpola H, LeCun Y. Pushing stochastic gradient towards second-order methods - Backpropagation learning with transformations in nonlinearities Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8226: 442-449. DOI: 10.1007/978-3-642-42054-2_55  1
2013 Pickett M, Kuipers B, LeCun Y, Morrison C. AAAI Workshop - Technical Report: Preface Aaai Workshop - Technical Report. vii.  1
2013 Wan L, Zeiler M, Zhang S, LeCun Y, Fergus R. Regularization of neural networks using DropConnect 30th International Conference On Machine Learning, Icml 2013. 2095-2103.  1
2013 Schaul T, Zhang S, LeCun Y. No more pesky learning rates 30th International Conference On Machine Learning, Icml 2013. 1380-1388.  1
2012 Farabet C, Couprie C, Najman L, Lecun Y. Learning Hierarchical Features for Scene Labeling. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 23091265  0.52
2012 Farabet C, Paz R, Pérez-Carrasco J, Zamarreño-Ramos C, Linares-Barranco A, Lecun Y, Culurciello E, Serrano-Gotarredona T, Linares-Barranco B. Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing. Frontiers in Neuroscience. 6: 32. PMID 22518097 DOI: 10.3389/fnins.2012.00032  1
2012 Mirowski P, Lecun Y. Statistical machine learning and dissolved gas analysis: A review Ieee Transactions On Power Delivery. 27: 1791-1799. DOI: 10.1109/TPWRD.2012.2197868  1
2012 Pham PH, Jelaca D, Farabet C, Martini B, LeCun Y, Culurciello E. NeuFlow: Dataflow vision processing system-on-a-chip Midwest Symposium On Circuits and Systems. 1044-1047. DOI: 10.1109/MWSCAS.2012.6292202  1
2012 LeCun YA, Bottou L, Orr GB, Müller KR. Efficient backprop Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7700: 9-48. DOI: 10.1007/978-3-642-35289-8-3  1
2012 Simard PY, Lecun YA, Denker JS, Victorri B. Transformation invariance in pattern recognition - Tangent distance and tangent propagation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7700: 235-269. DOI: 10.1007/978-3-642-35289-8-17  1
2012 Alvarez JM, LeCun Y, Gevers T, Lopez AM. Semantic road segmentation via multi-scale ensembles of learned features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7584: 586-595. DOI: 10.1007/978-3-642-33868-7_58  1
2012 LeCun Y. Learning invariant feature hierarchies Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7583: 496-505. DOI: 10.1007/978-3-642-33863-2_51  1
2012 Alvarez JM, Gevers T, LeCun Y, Lopez AM. Road scene segmentation from a single image Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7578: 376-389. DOI: 10.1007/978-3-642-33786-4_28  1
2012 Szlam A, Gregor K, LeCun Y. Fast approximations to structured sparse coding and applications to object classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7576: 200-213. DOI: 10.1007/978-3-642-33715-4_15  1
2012 Sermanet P, Chintala S, Lecun Y. Convolutional neural networks applied to house numbers digit classification Proceedings - International Conference On Pattern Recognition. 3288-3291.  1
2012 Humphrey EJ, Bello JP, LeCun Y. Moving beyond feature design: Deep architectures and automatic feature learning in music informatics Proceedings of the 13th International Society For Music Information Retrieval Conference, Ismir 2012. 403-408.  1
2012 Farabet C, Couprie C, Najman L, LeCun Y. Scene parsing with multiscale feature learning, purity trees, and optimal covers Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 575-582.  1
2012 Raiko T, Valpola H, LeCun Y. Deep learning made easier by linear transformations in perceptrons Journal of Machine Learning Research. 22: 924-932.  1
2011 Bello J, LeCun Y, Rowe R. Technical perspective concerto for violin and markov model Communications of the Acm. 54: 86. DOI: 10.1145/1897852.1897874  1
2011 Sermanet P, Lecun Y. Traffic sign recognition with multi-scale convolutional networks Proceedings of the International Joint Conference On Neural Networks. 2809-2813. DOI: 10.1109/IJCNN.2011.6033589  1
2011 Boureau YL, Le Roux N, Bach F, Ponce J, Lecun Y. Ask the locals: Multi-way local pooling for image recognition Proceedings of the Ieee International Conference On Computer Vision. 2651-2658. DOI: 10.1109/ICCV.2011.6126555  1
2011 Farabet C, Martini B, Corda B, Akselrod P, Culurciello E, Lecun Y. NeuFlow: A runtime reconfigurable dataflow processor for vision Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. DOI: 10.1109/CVPRW.2011.5981829  1
2011 Akselrod P, Zhao F, Derekli I, Farabet C, Martini B, LeCun Y, Culurciello E. Hardware accelerated visual attention algorithm 2011 45th Annual Conference On Information Sciences and Systems, Ciss 2011. DOI: 10.1109/CISS.2011.5766191  1
2011 Farabet C, LeCun Y, Kavukcuoglu K, Martini B, Akselrod P, Talay S, Culurciello E. Large-scale FPGA-based convolutional networks Scaling Up Machine Learning: Parallel and Distributed Approaches. 399-419. DOI: 10.1017/CBO9781139042918.020  1
2011 Henaff M, Jarrett K, Kavukcuoglu K, Lecun Y. Unsupervised learning of sparse features for scalable audio classification Proceedings of the 12th International Society For Music Information Retrieval Conference, Ismir 2011. 681-686.  1
2011 Gregor K, Szlam A, LeCun Y. Structured sparse coding via lateral inhibition Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2010 Krouk G, Mirowski P, LeCun Y, Shasha DE, Coruzzi GM. Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate. Genome Biology. 11: R123. PMID 21182762 DOI: 10.1186/gb-2010-11-12-r123  1
2010 Farabet C, Martini B, Akselrod P, Talay S, LeCun Y, Culurciello E. Hardware accelerated convolutional neural networks for synthetic vision systems Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 257-260. DOI: 10.1109/ISCAS.2010.5537908  1
2010 LeCun Y, Kavukcuoglu K, Farabet C. Convolutional networks and applications in vision Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 253-256. DOI: 10.1109/ISCAS.2010.5537907  1
2010 Grimes MK, Anguelov D, LeCun Y. Hybrid Hessians for flexible optimization of pose graphs Ieee/Rsj 2010 International Conference On Intelligent Robots and Systems, Iros 2010 - Conference Proceedings. 2997-3004. DOI: 10.1109/IROS.2010.5650091  1
2010 Boureau YL, Bach F, LeCun Y, Ponce J. Learning mid-level features for recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2559-2566. DOI: 10.1109/CVPR.2010.5539963  1
2010 Taylor GW, Fergus R, LeCun Y, Bregler C. Convolutional learning of spatio-temporal features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6316: 140-153. DOI: 10.1007/978-3-642-15567-3_11  1
2010 Kingma DP, LeCun Y. Regularized estimation of image statistics by Score Matching Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Kavukcuoglu K, Sermanet P, Boureau YL, Gregor K, Mathieu M, LeCun Y. Learning convolutional feature hierarchies for visual recognition Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Boureau YL, Ponce J, Lecun Y. A theoretical analysis of feature pooling in visual recognition Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 111-118.  1
2010 Gregor K, LeCun Y. Learning fast approximations of sparse coding Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 399-406.  1
2009 Mirowski P, Madhavan D, Lecun Y, Kuzniecky R. Classification of patterns of EEG synchronization for seizure prediction. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. 120: 1927-40. PMID 19837629 DOI: 10.1016/j.clinph.2009.09.002  1
2009 Grimes M, LeCun Y. Efficient off-road localization using visually corrected odometry Proceedings - Ieee International Conference On Robotics and Automation. 2649-2654. DOI: 10.1109/ROBOT.2009.5152880  1
2009 Sermanet P, Kavukcuoglu K, LeCun Y. EBLearn: Open-source energy-based learning in C++ Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 693-697. DOI: 10.1109/ICTAI.2009.28  1
2009 Farabet C, Poulet C, LeCun Y. An FPGA-based stream processor for embedded real-time vision with convolutional networks 2009 Ieee 12th International Conference On Computer Vision Workshops, Iccv Workshops 2009. 878-885. DOI: 10.1109/ICCVW.2009.5457611  1
2009 Jarrett K, Kavukcuoglu K, Ranzato M, LeCun Y. What is the best multi-stage architecture for object recognition? Proceedings of the Ieee International Conference On Computer Vision. 2146-2153. DOI: 10.1109/ICCV.2009.5459469  1
2009 Farabet C, Poulet C, Han JY, LeCun Y. CNP: An FPGA-based processor for Convolutional Networks Fpl 09: 19th International Conference On Field Programmable Logic and Applications. 32-37. DOI: 10.1109/FPL.2009.5272559  1
2009 Kavukcuoglu K, Ranzato M, Fergus R, LeCun Y. Learning invariant features through topographic filter maps 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 1605-1612. DOI: 10.1109/CVPRW.2009.5206545  1
2009 Mirowski P, Lecun Y. Dynamic factor graphs for time series modeling Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5782: 128-143. DOI: 10.1007/978-3-642-04174-7_9  1
2009 Hadsell R, Sermanet P, Ben J, Erkan A, Scoffier M, Kavukcuoglu K, Muller U, LeCun Y. Learning long-range vision for autonomous off-road driving Journal of Field Robotics. 26: 120-144. DOI: 10.1002/rob.20276  1
2009 Sermanet P, Hadsell R, Scoffier M, Grimes M, Ben J, Erkan A, Crudele C, Miller U, LeCun Y. A multirange architecture for collision-free off-road robot navigation Journal of Field Robotics. 26: 52-87. DOI: 10.1002/rob.20270  1
2008 Mirowski PW, LeCun Y, Madhavan D, Kuzniecky R. Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG Proceedings of the 2008 Ieee Workshop On Machine Learning For Signal Processing, Mlsp 2008. 244-249. DOI: 10.1109/MLSP.2008.4685487  1
2008 Hadsell R, Erkan A, Sermanet P, Scoffier M, Muller U, LeCun Y. Deep belief net learning in a long-range vision system for autonomous off-road driving 2008 Ieee/Rsj International Conference On Intelligent Robots and Systems, Iros. 628-633. DOI: 10.1109/IROS.2008.4651217  1
2008 Sermanet P, Hadsell R, Scoffier M, Muller U, LeCun Y. Mapping and planning under uncertainty in mobile robots with long-range perception 2008 Ieee/Rsj International Conference On Intelligent Robots and Systems, Iros. 2525-2530. DOI: 10.1109/IROS.2008.4651203  1
2008 Fitzgibbon A, Taylor CJ, LeCun Y. International Journal of Computer Vision: Editorial International Journal of Computer Vision. 80: 1-2. DOI: 10.1007/s11263-008-0162-4  1
2008 Sermanet P, Scoffier M, Crudele C, Muller U, LeCun Y. Learning maneuver dictionaries for ground robot planning 39th International Symposium On Robotics, Isr 2008. 962-967.  1
2007 Chopra S, Thampy T, Leahy J, Caplin A, LeCun Y. Discovering the hidden structure of house prices with a non-parametric latent manifold model Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 173-182. DOI: 10.1145/1281192.1281214  1
2007 Erkan AN, Hadsell R, Sermanet P, Ben J, Muller U, LeCun Y. Adaptive long range vision in unstructured terrain Ieee International Conference On Intelligent Robots and Systems. 2421-2426. DOI: 10.1109/IROS.2007.4399622  1
2007 LeCun Y, Chopra S, Ranzato MA, Huang FJ. Energy-based models in document recognition and computer vision Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 1: 337-341. DOI: 10.1109/ICDAR.2007.4378728  1
2007 Ranzato MA, LeCun Y. A sparse and locally shift invariant feature extractor applied to document images Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2: 1213-1217. DOI: 10.1109/ICDAR.2007.4377108  1
2007 Ranzato M, Huang FJ, Boureau YL, LeCun Y. Unsupervised learning of invariant feature hierarchies with applications to object recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383157  1
2007 Ranzato M, Taylor PE, House JM, Flagan RC, LeCun Y, Perona P. Automatic recognition of biological particles in microscopic images Pattern Recognition Letters. 28: 31-39. DOI: 10.1016/j.patrec.2006.06.010  1
2007 Ranzato M, Boureau YL, LeCun Y, Chopra S. A unified energy-based framework for unsupervised learning Journal of Machine Learning Research. 2: 371-379.  1
2007 Sermanet P, Hadsell R, Ben J, Erkan AN, Flepp B, Muller U, LeCun Y. Speed-range dilemmas for vision-based navigation in unstructured terrain Ifac Proceedings Volumes (Ifac-Papersonline). 6: 300-305.  1
2007 Hadsell R, Erkan A, Sermanet P, Ben J, Kavukcuoglu K, Muller U, LeCun Y. A multi-range vision strategy for autonomous offroad navigation Proceedings of the 13th Iasted International Conference On Robotics and Applications, Ra 2007 and Proceedings of the Iasted International Conference On Telematics. 457-463.  1
2007 Ranzato MA, Poultney C, Chopra S, LeCun Y. Efficient learning of sparse representations with an energy-based model Advances in Neural Information Processing Systems. 1137-1144.  1
2007 Mirowski PW, Madhavan D, LeCun Y. Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation Proceedings of the National Conference On Artificial Intelligence. 2: 1892-1893.  1
2007 Sonnenburg S, Braun ML, Cheng SO, Bengio S, Bottou L, Holmes G, LeCun Y, Müller KR, Pereira F, Rasmussen CE, Rätsch G, Schölkopf B, Smola A, Vincent P, Weston J, et al. The need for open source software in machine learning Journal of Machine Learning Research. 8: 2443-2466.  1
2006 Fitzgibbon A, Taylor CJ, Lecun Y, Huttenlocher D, Forsyth D. Message from the program and general chairs Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: xxvi-xxvii. DOI: 10.1109/CVPR.2006.183  1
2006 Huang FJ, LeCun Y. Large-scale learning with SVM and convolutional nets for generic object categorization Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 284-291. DOI: 10.1109/CVPR.2006.164  1
2006 Hadsell R, Chopra S, LeCun Y. Dimensionality reduction by learning an invariant mapping Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 1735-1742. DOI: 10.1109/CVPR.2006.100  1
2005 Ning F, Delhomme D, LeCun Y, Piano F, Bottou L, Barbano PE. Toward automatic phenotyping of developing embryos from videos. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 14: 1360-71. PMID 16190471 DOI: 10.1109/TIP.2005.852470  1
2005 Chopra S, Hadsell R, LeCun Y. Learning a similarity metric discriminatively, with application to face verification Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 539-546. DOI: 10.1109/CVPR.2005.202  1
2005 LeCun Y, Muller U, Ben J, Cosatto E, Flepp B. Off-road obstacle avoidance through end-to-end learning Advances in Neural Information Processing Systems. 739-746.  1
2004 LeCun Y, Huang FJ, Bottou L. Learning methods for generic object recognition with invariance to pose and lighting Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: II97-II104.  1
2003 Saul LK, Lee DD, Isbell CL, LeCun Y. Real time voice processing with audiovisual feedback: Toward autonomous agents with perfect pitch Advances in Neural Information Processing Systems 1
2001 Bottou L, Haffner P, LeCun Y. Efficient conversion of digital documents to multilayer raster formats Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2001: 444-448. DOI: 10.1109/ICDAR.2001.953829  1
1999 Simard PY, Bottou L, Haffner P, LeCun Y. Boxlets: A fast convolution algorithm for signal processing and neural networks Advances in Neural Information Processing Systems. 571-577.  1
1999 LeCun Y, Haffner P, Bottou L, Bengio Y. Object recognition with gradient-based learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1681: 319-345.  0.52
1999 Haffner P, LeCun Y, Bottou L, Howard P, Vincent P, Riemers B. Color documents on the web with DjVu Ieee International Conference On Image Processing. 1: 239-243.  1
1998 Haskell BG, Howard PG, LeCun YA, Puri A, Ostermann J, Civanlar MR, Rabiner L, Bottou L, Haffner P. Image and video coding - Emerging standards and beyond Ieee Transactions On Circuits and Systems For Video Technology. 8: 814-837. DOI: 10.1109/76.735379  1
1998 LeCun Y, Bottou L, Bengio Y, Haffner P. Gradient-based learning applied to document recognition Proceedings of the Ieee. 86: 2278-2323. DOI: 10.1109/5.726791  1
1998 Cox RV, Haskell BG, Lecun Y, Shahraray B, Rabiner L. Scanning the Technology on the Applications of Multimedia Processing to Communications Proceedings of the Ieee. 86: 755-823. DOI: 10.1109/5.664272  1
1998 LeCun Y, Bottou L, Haffner P, Howard PG. DjVu: A compression method for distributing scanned documents in color over the Internet Final Program and Proceedings - Is and T/Sid Color Imaging Conference. 220-223.  1
1998 Bottou L, Haffner P, Howard PG, Simard P, Bengio Y, LeCun Y. High quality document image compression with "DjVu" Journal of Electronic Imaging. 7: 410-425.  1
1995 Bengio Y, LeCun Y, Nohl C, Burges C. LeRec: a NN/HMM hybrid for on-line handwriting recognition. Neural Computation. 7: 1289-303. PMID 7584903  1
1992 Sackinger E, Boser BE, Bromley J, Lecun Y, Jackel LD. Application of the ANNA neural network chip to high-speed character recognition. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 3: 498-505. PMID 18276453 DOI: 10.1109/72.129422  1
1991 Jackel LD, Stenard CE, Baird HS, Boser B, Bromley J, Burges CJC, Denker JS, Graf HP, Henderson D, Howard RE, Hubbard W, leCun Y, Matan O, Pednault E, Satterfield W, et al. A neural network approach to handprint character recognition Digest of Papers - Ieee Computer Society International Conference. 472-475.  1
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