Papers
21,849 papers found
Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
Why The Brain Separates Face Recognition From Object Recognition
Joel Z. Leibo, Jim Mutch, Tomaso Poggio
A Bayesian Approach to Concept Drift
Stephen Bach, Mark Maloof
A Bayesian Framework for Figure-Ground Interpretation
Vicky Froyen, Jacob Feldman, Manish Singh
A biologically plausible network for the computation of orientation dominance
Kritika Muralidharan, Nuno Vasconcelos
Accounting for network effects in neuronal responses using L1 regularized point process models
Ryan Kelly, Matthew Smith, Robert Kass et al.
A Computational Decision Theory for Interactive Assistants
Alan Fern, Prasad Tadepalli
Active Estimation of F-Measures
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Active Learning Applied to Patient-Adaptive Heartbeat Classification
Jenna Wiens, John V. Guttag
Active Learning by Querying Informative and Representative Examples
Sheng-jun Huang, Rong Jin, Zhi-Hua Zhou
Adaptive Multi-Task Lasso: with Application to eQTL Detection
Seunghak Lee, Jun Zhu, Eric P. Xing
A Dirty Model for Multi-task Learning
Ali Jalali, Sujay Sanghavi, Chao Ruan et al.
A Discriminative Latent Model of Image Region and Object Tag Correspondence
Yang Wang, Greg Mori
A Family of Penalty Functions for Structured Sparsity
Jean Morales, Charles A. Micchelli, Massimiliano Pontil
Agnostic Active Learning Without Constraints
Alina Beygelzimer, Daniel J. Hsu, John Langford et al.
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration
Yi-da Wu, Shi-jie Lin, Hsin Chen
An Alternative to Low-level-Sychrony-Based Methods for Speech Detection
Javier R. Movellan, Paul L. Ruvolo
An analysis on negative curvature induced by singularity in multi-layer neural-network learning
Eiji Mizutani, Stuart Dreyfus
An Approximate Inference Approach to Temporal Optimization in Optimal Control
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
A New Probabilistic Model for Rank Aggregation
Tao Qin, Xiubo Geng, Tie-yan Liu
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Matthias Hein, Thomas Bühler
A novel family of non-parametric cumulative based divergences for point processes
Sohan Seth, Park Il, Austin Brockmeier et al.
A Novel Kernel for Learning a Neuron Model from Spike Train Data
Nicholas Fisher, Arunava Banerjee
A POMDP Extension with Belief-dependent Rewards
Mauricio Araya, Olivier Buffet, Vincent Thomas et al.