Technical Program

MLSP-P3: Classification and Clustering

Session Type: Poster
Time: Wednesday, March 28, 16:30 - 18:30
Location: Poster Area B
Session Chairs: Konstantinos Diamantaras, TEI of Thessaloniki and Asoke K. Nandi, University of Liverpool
 
MLSP-P3.1: TOTALLY-CORRECTIVE BOOSTING USING CONTINUOUS-VALUED WEAK LEARNERS
         Chensheng Sun; The Hong Kong Polytechnic University
         Sanyuan Zhao; Beijing Institute of Technology
         Jiwei Hu; The Hong Kong Polytechnic University
         Kin-Man Lam; The Hong Kong Polytechnic University
 
MLSP-P3.2: A SINGLE-CLASS SVM BASED ALGORITHM FOR COMPUTING AN IDENTIFIABLE NMF
         Slim Essid; Télécom ParisTech
 
MLSP-P3.3: BINARY CLASSIFICATION BY MINIMIZING THE MEAN SQUARED SLACK
         Konstantinos Diamantaras; TEI of Thessaloniki
         Margarita Kotti; TEI of Thessaloniki
 
MLSP-P3.4: GENERALIZED K-LABELSET ENSEMBLE FOR MULTI-LABEL CLASSIFICATION
         Hung-Yi Lo; Academia Sinica
         Shou-De Lin; National Taiwan University
         Hsin-Min Wang; Academia Sinica
 
MLSP-P3.5: ON EFFICIENT LEARNING AND CLASSIFICATION KERNEL METHODS
         Sun-Yuan Kung; Princeton University
         Pei-Yuan Wu; Princeton University
 
MLSP-P3.6: MODELING HIERARCHICAL AND HETEROGENEOUS FEATURE REPRESENTATION WITH CONDITIONAL RANDOM FIELD FOR VISUAL OBJECT DETECTION
         Yaping Zhu; Communication University of China
         Steve Pan; Southeast University
         Jianping Chai; Communication University of China
 
MLSP-P3.7: RELIABLE EARLY CLASSIFICATION OF TIME SERIES
         Hyrum Anderson; Sandia National Labs
         Nathan Parrish; University of Washington
         Kristi Tsukida; University of Washington
         Maya Gupta; University of Washington
 
MLSP-P3.8: COMPUTATIONALLY EFFICIENT MULTI-LABEL CLASSIFICATION BY LEAST-SQUARES PROBABILISTIC CLASSIFIER
         Hyunha Nam; Tokyo Institute of Technology
         Hirotaka Hachiya; Tokyo Institute of Technology
         Masashi Sugiyama; Tokyo Institute of Technology
 
MLSP-P3.9: INCREASING VIRTUAL SAMPLES THROUGH LOSS SMOOTHNESS DETERMINATION IN LARGE GEOMETRIC MARGIN MINIMUM CLASSIFICATION ERROR TRAINING
         Tsukasa Ohashi; Doshisha University
         Hideyuki Watanabe; National Institute of Information and Communications Technology
         Jun'ichi Tokuno; Doshisha University
         Shigeru Katagiri; Doshisha University
         Miho Ohsaki; Doshisha University
         Shigeki Matsuda; National Institute of Information and Communications Technology
         Hideki Kashioka; National Institute of Information and Communications Technology
 
MLSP-P3.10: DETECTING ACTIVITY-BASED COMMUNITIES USING DYNAMIC MEMBERSHIP PROPAGATION
         Scott Philips; MIT Lincoln Laboratory
         Michael Yee; MIT Lincoln Laboratory
         Edward Kao; MIT Lincoln Laboratory
         Christian Anderson; MIT Lincoln Laboratory
 
MLSP-P3.11: MULTI-AFFINITY SPECTRAL CLUSTERING
         Hsin-Chien Huang; National Taiwan University
         Yung-Yu Chuang; National Taiwan University
         Chu-Song Chen; Academia Sinica
 
MLSP-P3.12: K-SEARCH: SEARCHING FOR CLUSTERS
         Rhonda Phillips; MIT Lincoln Laboratory
         Bijaya Zenchenko; MIT Lincoln Laboratory