Technical Program

MLSP-P5: Bayesian, Information-theoretic and Graphical Learning

Session Type: Poster
Time: Thursday, March 29, 16:30 - 18:30
Location: Poster Area B
Session Chairs: Jonathan Le Roux, Mitsubishi Electric Research Labs and Makoto Nakashizuka, Osaka University
 
MLSP-P5.1: SEMI-SUPERVISED MULTI-DOMAIN REGRESSION WITH DISTINCT TRAINING SETS
         Tomer Michaeli; Technion – Israel Institute of Technology
         Yonina C. Eldar; Technion – Israel Institute of Technology
         Guillermo Sapiro; University of Minnesota
 
MLSP-P5.2: A BAYESIAN APPROACH FOR GAS CONCENTRATION RECONSTRUCTION BASED ON TUNABLE DIODE LASER ABSORPTION SPECTROSCOPY
         Chao Yuan; Siemens Corporate Research
 
MLSP-P5.3: HANDLING INCOMPLETE MATRIX DATA VIA CONTINUOUS-VALUED INFINITE RELATIONAL MODEL
         Tomohiko Suzuki; Waseda University
         Takuma Nakamura; Waseda University
         Yasutoshi Ida; Waseda University
         Takashi Matsumoto; Waseda University
 
MLSP-P5.4: ONLINE BAYESIAN DICTIONARY LEARNING FOR LARGE DATASETS
         Lingbo Li; Duke University
         Jorge Silva; Duke University
         Mingyuan Zhou; Duke University
         Lawrence Carin; Duke University
 
MLSP-P5.5: ORDER DETECTION FOR DEPENDENT SAMPLES USING ENTROPY RATE
         Gengshen Fu; University of Maryland
         Hualiang Li; University of Maryland
         Matthew Anderson; University of Maryland
         Tulay Adali; University of Maryland
 
MLSP-P5.6: LOW-RANK DATA MODELING VIA THE MINIMUM DESCRIPTION LENGTH PRINCIPLE
         Ignacio Ramirez; University of Minnesota
         Guillermo Sapiro; University of Minnesota
 
MLSP-P5.7: DIMENSION REDUCTION IN REGRESSION USING GAUSSIAN MIXTURE MODELS
         Majid Mirbagheri; University of Maryland College Park
         Yanbo Xu; University of Maryland College Park
         Shihab Shamma; University of Maryland College Park
 
MLSP-P5.8: DECOMPOSING SIGNALS INTO A SUM OF AMPLITUDE AND FREQUENCY MODULATED SINUSOIDS USING PROBABILISTIC INFERENCE
         Richard Turner; University of Cambridge
         Maneesh Sahani; University College London
 
MLSP-P5.9: COPULA GAUSSIAN GRAPHICAL MODELS WITH HIDDEN VARIABLES
         Hang Yu; Nanyang Technological University
         Justin Dauwels; Nanyang Technological University
         Xueou Wang; Nanyang Technological University
 
MLSP-P5.10: A FIXED-BUDGET QUANTIZED KERNEL LEAST MEAN SQUARE ALGORITHM
         Songlin Zhao; University of Florida
         Badong Chen; University of Florida
         Jose Principe; University of Florida
 
MLSP-P5.11: PREDICTION OF TIME SERIES USING YULE-WALKER EQUATIONS WITH KERNELS
         Maya Kallas; Université de Technologie de Troyes / Université Libanaise
         Paul Honeine; Université de Technologie de Troyes
         Cédric Richard; Université de Nice Sophia-Antipolis
         Clovis Francis; Université Libanaise
         Hassan Amoud; Université Libanaise
 
MLSP-P5.12: TRANSFER CROSS ENTROPY FOR FAST SOCIOMETRIC INFERENCE IN LONGITUDINAL COLLECTIONS OF MULTI-PARTY CONVERSATION
         Kornel Laskowski; Carnegie Mellon University