[edit]
Volume 44: Feature Extraction: Modern Questions and Challenges, 11 December 2015, Montreal, Canada
[edit]
Editors: Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar
A Survey of Modern Questions and Challenges in Feature Extraction
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:1-18
;[abs][Download PDF]
A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:19-29
;[abs][Download PDF]
Learning Sparse Metrics, One Feature at a Time
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:30-48
;[abs][Download PDF]
Stage-wise Training: An Improved Feature Learning Strategy for Deep Models
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:49-59
;[abs][Download PDF]
Learning Multi-channel Deep Feature Representations for Face Recognition
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:60-71
;[abs][Download PDF]
Kernel Extraction via Voted Risk Minimization
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:72-89
;[abs][Download PDF]
A Computationally Efficient Method for Estimating Semi Parametric Regression Functions
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:90-102
;[abs][Download PDF]
Spatiotemporal Feature Extraction with Data-Driven Koopman Operators
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:103-115
;[abs][Download PDF]
Convolutional Dictionary Learning through Tensor Factorization
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:116-129
;[abs][Download PDF]
FEAST at Play: Feature ExtrAction using Score function Tensors
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:130-144
;[abs][Download PDF]
The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:145-159
;[abs][Download PDF]
Deep Clustered Convolutional Kernels
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:160-172
;[abs][Download PDF]
Theory and Algorithms for the Localized Setting of Learning Kernels
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:173-195
;[abs][Download PDF]
Convergent Learning: Do different neural networks learn the same representations?
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:196-212
;[abs][Download PDF]
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:213-225
;[abs][Download PDF]
Generalization Bounds for Supervised Dimensionality Reduction
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:226-241
;[abs][Download PDF]
Modular Autoencoders for Ensemble Feature Extraction
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:242-259
;[abs][Download PDF]
Minimum description length (MDL) regularization for online learning
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:260-276
;[abs][Download PDF]
Covariance Selection in the Linear Mixed Effect Mode
Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:277-291
;[abs][Download PDF]
subscribe via RSS