Volume 44: Feature Extraction: Modern Questions and Challenges, 11 December 2015, Montreal, Canada


Editors: Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar


A Survey of Modern Questions and Challenges in Feature Extraction

Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar ; PMLR 44:1-18

A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis

Hassan Ashtiani, Ali Ghodsi ; PMLR 44:19-29

Learning Sparse Metrics, One Feature at a Time

Yuval Atzmon, Uri Shalit, Gal Chechik ; PMLR 44:30-48

Stage-wise Training: An Improved Feature Learning Strategy for Deep Models

Elnaz Barshan, Paul Fieguth ; PMLR 44:49-59

Learning Multi-channel Deep Feature Representations for Face Recognition

Xue-wen Chen, Melih Aslan, Kunlei Zhang, Thomas Huang ; PMLR 44:60-71

Kernel Extraction via Voted Risk Minimization

Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri ; PMLR 44:72-89

A Computationally Efficient Method for Estimating Semi Parametric Regression Functions

Xia Cui, Ying Lu, Heng Peng ; PMLR 44:90-102

Spatiotemporal Feature Extraction with Data-Driven Koopman Operators

Dimitrios Giannakis, Joanna Slawinska, Zhizhen Zhao ; PMLR 44:103-115

Convolutional Dictionary Learning through Tensor Factorization

Furong Huang, Animashree Anandkumar ; PMLR 44:116-129

FEAST at Play: Feature ExtrAction using Score function Tensors

Majid Janzamin, Hanie Sedghi, U.N. Niranjan, Animashree Anandkumar ; PMLR 44:130-144

The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors

Melih Kandemir, Fred A. Hamprecht ; PMLR 44:145-159

Deep Clustered Convolutional Kernels

Minyoung Kim, Luca Rigazio ; PMLR 44:160-172

Theory and Algorithms for the Localized Setting of Learning Kernels

Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft ; PMLR 44:173-195

Convergent Learning: Do different neural networks learn the same representations?

Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John Hopcroft ; PMLR 44:196-212

Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar ; PMLR 44:213-225

Generalization Bounds for Supervised Dimensionality Reduction

Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus ; PMLR 44:226-241

Modular Autoencoders for Ensemble Feature Extraction

Henry Reeve, Gavin Brown ; PMLR 44:242-259

Minimum description length (MDL) regularization for online learning

Gil I. Shamir ; PMLR 44:260-276

Covariance Selection in the Linear Mixed Effect Mode

Jonathan P. Williams, Ying Lu ; PMLR 44:277-291

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