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Classification

15,805 papers

Papers per year

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Papers

Convex Learning with Invariances NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Bundle Methods for Machine Learning NIPS 2007
Nearest-Neighbor-Based Active Learning for Rare Category Detection NIPS 2007
Structured Learning with Approximate Inference NIPS 2007
Classification via Minimum Incremental Coding Length (MICL) NIPS 2007
SpAM: Sparse Additive Models NIPS 2007
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NIPS 2007
Testing for Homogeneity with Kernel Fisher Discriminant Analysis NIPS 2007
Second Order Bilinear Discriminant Analysis for single trial EEG analysis NIPS 2007
The discriminant center-surround hypothesis for bottom-up saliency NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection NIPS 2007
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
Anytime Induction of Cost-sensitive Trees NIPS 2007
Optimal ROC Curve for a Combination of Classifiers NIPS 2007
Subspace-Based Face Recognition in Analog VLSI NIPS 2007
Configuration Estimates Improve Pedestrian Finding NIPS 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search NIPS 2007
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NIPS 2007
GRIFT: A graphical model for inferring visual classification features from human data NIPS 2007
Hidden Common Cause Relations in Relational Learning NIPS 2007
The Generalized FITC Approximation NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007