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Technical Program

MLSP-L1: Pattern Recognition and Signal Detection I

Session Type: Lecture

Time: Tuesday, March 16, 13:30 - 15:30

Location: Room D3

Session Chair: Shigeru Katagiri, Doshisha University, Japan

MLSP-L1.1: A SUPERVISORY APPROACH TO SEMI-SUPERVISED CLUSTERING

Bryan Conroy; Princeton University

Yongxin Xi; Princeton University

Peter Ramadge; Princeton University

MLSP-L1.2: SEMI-SUPERVISED FISHER LINEAR DISCRIMINANT (SFLD)

Seda Remus; Clarkson University

Carlo Tomasi; Duke University

MLSP-L1.3: SAMPLE-SEPARATION-MARGIN BASED MINIMUM CLASSIFICATION ERROR TRAINING OF PATTERN CLASSIFIERS WITH QUADRATIC DISCRIMINANT FUNCTIONS

Yongqiang Wang; University of Hong Kong

Qiang Huo; Microsoft Research Asia

MLSP-L1.4: HIGH DIMENSIONAL REGRESSION USING THE SPARSE MATRIX TRANSFORM (SMT)

Guangzhi Cao; GE Healthcare Technologies

Yandong Guo; Purdue University

Charles Bouman; Purdue University

MLSP-L1.5: CAMERA-BASED CLEAR PATH DETECTION

Qi Wu; Carnegie Mellon University

Wende Zhang; General Motors Corporation

Tsuhan Chen; Cornell University

B.V.K. Vijaya Kumar; Carnegie Mellon University

MLSP-L1.6: RADAR HRRP STATISTICAL RECOGNITION WITH LOCAL FACTOR ANALYSIS BY AUTOMATIC BAYESIAN YING YANG HARMONY LEARNING

Lei Shi; Chinese University of Hong Kong

Penghui Wang; Xidian University

Hongwei Liu; Xidian University

Lei Xu; Chinese University of Hong Kong

Zheng Bao; Xidian University