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

Hassan Ashtiani, Ali Ghodsi; 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

Yuval Atzmon, Uri Shalit, Gal Chechik; 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

Elnaz Barshan, Paul Fieguth; 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

Xue-wen Chen, Melih Aslan, Kunlei Zhang, Thomas Huang; 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

Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri; 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

Xia Cui, Ying Lu, Heng Peng; 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

Dimitrios Giannakis, Joanna Slawinska, Zhizhen Zhao; 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

Furong Huang, Animashree Anandkumar; 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

Majid Janzamin, Hanie Sedghi, U.N. Niranjan, Animashree Anandkumar; 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

Melih Kandemir, Fred A. Hamprecht; 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

Minyoung Kim, Luca Rigazio; 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

Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft; 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?

Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John Hopcroft; 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

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar; 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

Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus; 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

Henry Reeve, Gavin Brown; 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

Gil I. Shamir; 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

Jonathan P. Williams, Ying Lu; Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS 2015, PMLR 44:277-291

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