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Technical Program

MLSP-L3: Machine Learning Applications I

Session Type: Lecture

Time: Thursday, March 18, 16:00 - 18:00

Location: Room D3

Session Chair: Paris Smaragdis, Adobe Systems Inc.

MLSP-L3.1: FINDING CHANGE POINTS IN THE POLLS

Albert D. Shieh; Harvard University

Lynette C. Lee; Harvard University

MLSP-L3.2: LARGE MARGIN TRAINING OF SEMI-MARKOV MODEL FOR PHONETIC RECOGNITION

Sungwoong Kim; Korea Advanced Institute of Science and Technology

Sungrack Yun; Korea Advanced Institute of Science and Technology

Chang D. Yoo; Korea Advanced Institute of Science and Technology

MLSP-L3.3: LATENT-VARIABLE DECOMPOSITION BASED DEREVERBERATION OF MONAURAL AND MULTI-CHANNEL SIGNALS

Rita Singh; Carnegie Mellon University

Bhiksha Raj; Disney Research

Paris Smaragdis; Adobe Systems, Inc.

MLSP-L3.4: SCALED FACTORIAL HIDDEN MARKOV MODELS: A NEW TECHNIQUE FOR COMPENSATING GAIN DIFFERENCES IN MODEL-BASED SINGLE CHANNEL SPEECH SEPARATION

M. Hossein Radfar; University of Toronto

W. Wong; University of Toronto

R. M. Dansereau; Carleton University

W. Y. Chan; Queen's University

MLSP-L3.5: INDEPENDENT SUBSPACE ANALYSIS WITH PRIOR INFORMATION FOR FMRI DATA

Sai Ma; University of Maryland, Baltimore County

Xi-Lin Li; University of Maryland, Baltimore County

Nicolle Correa; University of Maryland, Baltimore County

Tulay Adali; University of Maryland, Baltimore County

Vince Calhoun; The Mind Research Network and The University of New Mexico

MLSP-L3.6: CLUSTERING DISJOINT SUBSPACES VIA SPARSE REPRESENTATION

Ehsan Elhamifar; Johns Hopkins University

Rene Vidal; Johns Hopkins University