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Volume 44: Feature Extraction: Modern Questions and Challenges, 11 December 2015, Montreal, Canada
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Deep Clustered Convolutional Kernels
; Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:160-172
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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
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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
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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
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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
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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
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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
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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
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