Technical Program

MLSP-P1: Supervised and semi-supervised learning

Session Type: Poster
Time: Monday, March 6, 13:30 - 15:30
Location: Churchill: Poster Area E
Session Chair: Jinsub Kim, Oregon State University
 
MLSP-P1.1: SEMI-SUPERVISED CLASSIFICATION VIA BOTH LABEL AND SIDE INFORMATION
         Rui Zhang; Northwestern Polytechnical University
         Feiping Nie; Northwestern Polytechnical University
         Xuelong Li; Northwestern Polytechnical University
 
MLSP-P1.2: SEQUENCE SEGMENTATION USING JOINT RNN AND STRUCTURED PREDICTION MODELS
         Yossi Adi; Bar-Ilan University
         Joseph Keshet; Bar-Ilan University
         Emily Cibelli; Northwestern University
         Matthew Goldrick; Northwestern University
 
MLSP-P1.3: EEF: EXPONENTIALLY EMBEDDED FAMILIES WITH CLASS-SPECIFIC FEATURES FOR CLASSIFICATION
         Bo Tang; Hofstra University
         Steven Kay; University of Rhode Island
         Haibo He; University of Rhode Island
         Paul M. Baggenstoss; Fraunhofer FKIE
 
MLSP-P1.4: A MIXTURE MODEL-BASED REAL-TIME AUDIO SOURCES CLASSIFICATION METHOD
         Maxime Baelde; University Lille 1, CNRS, Inria / A-Volute
         Christophe Biernacki; University Lille 1, CNRS, Inria
         Raphaël Greff; A-Volute
 
MLSP-P1.5: AFFECT RECOGNITION FROM LIP ARTICULATIONS
         Rizwan Sadiq; Koç University
         Engin Erzin; Koç University
 
MLSP-P1.6: AUTOMATIC RADAR WAVEFORM RECOGNITION BASED ON TIME-FREQUENCY ANALYSIS AND CONVOLUTIONAL NEURAL NETWORK
         Chao Wang; Tsinghua University
         Jian Wang; Tsinghua University
         Xudong Zhang; Tsinghua University