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- Abstract---Recent resea rch suggests
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- Global Training of Document Processing Systems using Graph Transformer Leon Bottou, Yoshua Bengio, Yann Le Cun
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- Browsing through High Quality Document Images with DjVu Patrick Haffner, L'eon Bottou, Paul G. Howard,
- TRANSACTIONS IMAGE PROCESSING, VOL. 8, AUGUST 1998
- Adaptive Long Range Vision in Unstructured Terrain Ayse Naz Erkan1 Raia Hadsell1 Pierre Sermanet1,2 Jan Ben2 Urs Muller2 Yann LeCun1
- A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
- Transformation Invariance in Pattern Recognition --Tangent Distance and Tangent
- Graph Transformer Networks for Image Recognition Leon Bottou + and Yann Le Cun #
- Learning Invariant Features through Topographic Filter Maps Koray Kavukcuoglu Marc'Aurelio Ranzato Rob Fergus Yann LeCun
- DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution Patrick Haffner, Leon Bottou, Paul G. Howard, and Yann LeCun
- Dynamic AutoEncoders for Semantic Indexing Piotr Mirowski
- Globally Trained Handwritten Word Recognizer using Spatial Representation,
- Dimensionality Reduction by Learning an Invariant Mapping Raia Hadsell, Sumit Chopra, Yann LeCun
- Large-scale Learning with SVM and Convolutional Nets for Generic Object Categorization
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- Reverse TDNN: An Architecture for Trajectory Patrice Simard
- CNP: AN FPGABASED PROCESSOR FOR CONVOLUTIONAL NETWORKS Cl ement Farabet 1 , Cyril Poulet 1 , Jefferson Y. Han 2 , Yann LeCun 1
- RESEARCH Open Access Predictive network modeling of the high
- Scaling Learning Algorithms towards AI Yoshua Bengio (1) and Yann LeCun (2)
- LeRec: A NN/HMM Hybrid for OnLine Handwriting Recognition
- Learning MidLevel Features For Recognition YLan Boureau 1,3,4
- Efficient Conversion of Digital Documents to Multilayer Raster Formats
- Word Normalization for OnLine Handwritten Word Recognition Yoshua Bengio Yann Le Cun
- Automatic Recognition of Biological Particles in Microscopic Images
- Learning a Similarity Metric Discriminatively, with Application to Face Verification
- A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
- Convolutional Networks for Images, Speech, and TimeSeries
- DISCRIMINATIVE FEATURE AND MODEL DESIGN FOR AUTOMATIC SPEECH RECOGNITION
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- Pe t al, (2009) ``Classification of Patte rns of EEG Synchronization for
- Loss Functions for Discriminative Training of EnergyBased Models. Yann LeCun and Fu Jie Huang
- Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
- Scanning the Technology Applications Multimedia Processing Communications
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- Regularized estimation of image statistics by Score Matching
- PROC. OF THE IEEE, NOVEMBER 1998 1 GradientBased Learning Applied to Document
- Regularized estimation of image statistics by Score Matching
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- Graph Transformer Networks for Image Recognition Leon Bottou
- WordLevel Training of a Handritten Word Recognizer Based on Convolutional Neural Networks
- Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
- Global Training of Document Processing Systems using Graph Transformer Leon Bottou, Yoshua Bengio, Yann Le Cun
- A Theoretical Analysis of Feature Pooling in Visual Recognition Y-Lan Boureau2,3
- Efficient Learning of Sparse Representations with an Energy-Based Model
- Efficient Off-Road Localization Using Visually Corrected Odometry Matthew Grimes and Yann LeCun
- Learning Invariant Features through Topographic Filter Maps Koray Kavukcuoglu Marc'Aurelio Ranzato Rob Fergus Yann LeCun
- Pattern Recognition and Neural Networks Yann LeCun Yoshua Bengio
- Convolutional Networks and Applications in Vision Yann LeCun, Koray Kavukcuoglu and Clement Farabet
- Discovering the Hidden Structure of House Prices with a Non-Parametric Latent Manifold Model
- What is the Best Multi-Stage Architecture for Object Recognition? Kevin Jarrett, Koray Kavukcuoglu, Marc'Aurelio Ranzato and Yann LeCun
- Scaling Learning Algorithms towards AI Yoshua Bengio (1) and Yann LeCun (2)
- Abstract--Recent research suggests that electrophysiological changes develop minutes to hours before the actual clinical
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- Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
- Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
- Learning Fast Approximations of Sparse Coding Karol Gregor and Yann LeCun {kgregor,yann}@cs.nyu.edu
- A Unified Energy-Based Framework for Unsupervised Learning Marc'Aurelio Ranzato Y-Lan Boureau Sumit Chopra Yann LeCun
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 7, NO. 8, AUGUST 1998 1093 Guest Editorial
- Dynamic Auto-Encoders for Semantic Indexing Piotr Mirowski
- Convolutional Networks and Applications in Vision Yann LeCun, Koray Kavukcuoglu and Cl ement Farabet
- Mapping and Planning under Uncertainty in Mobile Robots with Long-Range Perception
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- Hybrid Hessians for Flexible Optimization of Pose Graphs Matthew Koichi Grimes Dragomir Anguelov Yann LeCun
- Learning Maneuver Dictionaries for Ground Robot Planning Pierre Sermanet 1,2 Marco Scoffier 1,2 Chris Crudele 2 Urs Muller 2 Yann LeCun 1
- Machine Learning and the Spatial Structure of House Prices and Housing Returns #
- Adaptive Long Range Vision in Unstructured Terrain Ayse Naz Erkan 1 Raia Hadsell 1 Pierre Sermanet 1,2 Jan Ben 2 Urs Muller 2 Yann LeCun 1
- Largescale Learning with SVM and Convolutional Nets for Generic Object Categorization
- Boxlets: a Fast Convolution Algorithm for Signal Processing and Neural Networks
- Energy-Based Models in Document Recognition and Computer Vision. Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, and Fu-Jie Huang
- Mirowski P et al, (2009) "Classification of Patterns of EEG Synchronization for Seizure Prediction" 1 Classification of Patterns of EEG Synchronization
- Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
- What is the Best MultiStage Architecture for Object Recognition? Kevin Jarrett, Koray Kavukcuoglu, Marc'Aurelio Ranzato and Yann LeCun
- A Unified EnergyBased Framework for Unsupervised Learning Marc'Aurelio Ranzato YLan Boureau Sumit Chopra Yann LeCun
- Transforming NeuralNet Output Levels to Probability Distributions
- Hardware Accelerated Convolutional Neural Networks for Synthetic Vision Systems
- Sparse Feature Learning for Deep Belief Networks Marc'Aurelio Ranzato 1 YLan Boureau 2,1 Yann LeCun 1
- Optimal Brain Damage Yann Le Cun, John S. Denker and Sara A. Solla
- Dynamic Factor Graphs for Time Series Modeling
- Off-Road Obstacle Avoidance through End-to-End Learning
- Real time voice processing with audiovisual feedback: toward autonomous agents with perfect pitch
- Learning Maneuver Dictionaries for Ground Robot Planning Pierre Sermanet1,2 Marco Scoffier1,2 Chris Crudele2 Urs Muller2 Yann LeCun1
- Deep Belief Net Learning in a Long-Range Vision System for Autonomous Off-Road Driving
- Hybrid Hessians for Flexible Optimization of Pose Graphs Matthew Koichi Grimes Dragomir Anguelov Yann LeCun
- Automatic Recognition of Biological Particles in Microscopic Images
- Name and affiliation of the authors R'egis Vaillant
- Mapping and Planning under Uncertainty in Mobile Robots with LongRange Perception
- Traffic Sign Recognition with Multi-Scale Convolutional Networks Pierre Sermanet and Yann LeCun
- Large-Scale FPGA-based Convolutional Networks Clement Farabet1
- UNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION
- Invited Paper NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision
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- Invited Paper NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision
- LargeScale FPGAbased Convolutional Networks Clement Farabet 1
- Ask the locals: multiway local pooling for image recognition YLan Boureau ##### Nicolas Le Roux ### Francis Bach ###
- UNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION
- Structured sparse coding via lateral inhibition Karol Gregor
- Structured sparse coding via lateral inhibition Karol Gregor
