MLSP-P1: Learning Theory and Models II |
Session Type: Poster |
Time: Tuesday, March 16, 10:30 - 12:30 |
Location: Poster Area E |
Session Chair: Ignacio Santamaria, Universidad de Cantabria |
MLSP-P1.1: A PSEUDO-RIEMANNIAN-GRADIENT APPROACH TO THE LEAST-SQUARES PROBLEM ON THE REAL SYMPLECTIC GROUP |
Simone Fiori; Università Politecnica delle Marche |
MLSP-P1.2: ONLINE REINFORCEMENT LEARNING FOR MULTIMEDIA BUFFER CONTROL |
Nicholas Mastronarde; University of California, Los Angeles |
Mihaela van der Schaar; University of California, Los Angeles |
MLSP-P1.3: DIRECT IMPORTANCE ESTIMATION WITH PROBABILISTIC PRINCIPAL COMPONENT ANALYZERS |
Makoto Yamada; Colorado State University |
Masashi Sugiyama; Tokyo Institute of Technology |
Gordon Wichern; Arizona State University |
MLSP-P1.4: A STUDY OF SEVERAL MODEL SELECTION CRITERIA FOR DETERMINING THE NUMBER OF SIGNALS |
Shikui Tu; Chinese University of Hong Kong |
Lei Xu; Chinese University of Hong Kong |
MLSP-P1.5: LEARNING FROM HIGH-DIMENSIONAL NOISY DATA VIA PROJECTIONS ONTO MULTI-DIMENSIONAL ELLIPSOIDS |
Liuling Gong; University of Illinois at Chicago |
Dan Schonfeld; University of Illinois at Chicago |
MLSP-P1.6: LARGE MARGIN FILTERING FOR SIGNAL SEQUENCE LABELING |
Rémi Flamary; Université de Rouen |
Benjamin Labbé; INSA de Rouen |
Alain Rakotomamonjy; Université de Rouen |
MLSP-P1.7: PARAMETRIC DICTIONARY LEARNING USING STEEPEST DESCENT |
Mahdi Ataee; Sharif University of Technology |
Hadi Zayyani; Sharif University of Technology |
Massoud Babaie-Zadeh; Sharif University of Technology |
Christian Jutten; Institute Universitaire de France |
MLSP-P1.8: DISTRIBUTED CORRELATED Q-LEARNING FOR DYNAMIC TRANSMISSION CONTROL OF SENSOR NETWORKS |
Jane Huang; University of British Columbia |
Quanyan Zhu; University of Illinois at Urbana-Champaign |
Vikram Krishnamurthy; University of British Columbia |
Tamer Basar; University of Illinois at Urbana-Champaign |
MLSP-P1.9: UNIVERSAL SWITCHING AND SIDE INFORMATION PORTFOLIOS UNDER TRANSACTION COSTS USING FACTOR GRAPHS |
Andrew Bean; University of Illinois at Urbana-Champaign |
Andrew Singer; University of Illinois at Urbana-Champaign |
MLSP-P1.10: REGULARIZED ONLINE LEARNING OF PSEUDOMETRICS |
Yvonne Moh; ETH Zurich |
Joachim M. Buhmann; ETH Zurich |
MLSP-P1.11: ERROR CORRECTIVE CLASSIFIER FUSION FOR SPOKEN LANGUAGE RECOGNITION |
Omid Dehzangi; Nanyang Technological university |
Bin Ma; Institute for Infocomm Research |
Eng Siong Chng; Nanyang Technological university |
Haizhou Li; Institute for Infocomm Research |
MLSP-P1.12: BAYESIAN LEARNING OF ECHO STATE NETWORKS WITH TUNABLE FILTERS AND DELAY & SUM READOUTS |
Christoph Zechner; Graz University of Technology |
Dmitriy Shutin; Graz University of Technology |
MLSP-P1.13: VARIATIONAL INFERENCE FOR CONDITIONAL RANDOM FIELDS |
Chih-Pin Liao; National Cheng Kung University |
Jen-Tzung Chien; National Cheng Kung University |