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MLSP-P7: Kernel Methods

Session Type: Poster
Time: Thursday, May 30, 15:20 - 17:20
Location: Poster Area G
Session Chair: Sergios Theodoridis, University of Athens
 
  MLSP-P7.1: A CLASSIFICATION SCHEME FOR ’HIGH-DIMENSIONAL-SMALL-SAMPLE-SIZE’ DATA USING SODA AND RIDGE-SVM WITH MICROWAVE MEASUREMENT APPLICATIONS
         Yinan Yu; Chalmers University of Technology
         Tomas McKelvey; Chalmers University of Technology
         Sun-Yuan Kung; Princeton University
 
  MLSP-P7.2: ADAPTIVE THRESHOLDING FOR MULTI-LABEL SVM CLASSIFICATION WITH APPLICATION TO PROTEIN SUBCELLULAR LOCALIZATION PREDICTION
         Shibiao Wan; The Hong Kong Polytechnic University
         Man-Wai Mak; The Hong Kong Polytechnic University
         Sun-Yuan Kung; Princeton University
 
  MLSP-P7.3: INCORPORATING COVARIANCE INFORMATION IN ONE CLASS SUPPORT VECTOR CLASSIFICATION
         Naimul Mefraz Khan; Ryerson University
         Riadh Ksantini; University of Windsor
         Imran Shafiq Ahmad; University of Windsor
         Ling Guan; Ryerson University
 
  MLSP-P7.4: AN EFFICIENT DATA-REUSING KERNEL ADAPTIVE FILTERING ALGORITHM BASED ON PARALLEL HYPERSLAB PROJECTION ALONG AFFINE SUBSPACES
         Masa-aki Takizawa; Niigata University
         Masahiro Yukawa; Niigata University
 
  MLSP-P7.5: HMM BASED PYRAMID MATCH KERNEL FOR CLASSIFICATION OF SEQUENTIAL PATTERNS OF SPEECH USING SUPPORT VECTOR MACHINES
         Dileep A. D.; Indian Institute of Technology Madras
         Chandra Sekhar C.; Indian Institute of Technology Madras
 
  MLSP-P7.6: A NEW ONE-CLASS SVM FOR ANOMALY DETECTION
         Yuting Chen; Boston University
         Jing Qian; Boston University
         Venkatesh Saligrama; Boston University
 
  MLSP-P7.7: KERNEL RECURRENT SYSTEM TRAINED BY REAL-TIME RECURRENT LEARNING ALGORITHM
         Pingping Zhu; University of Florida
         Jose C. Principe; University of Florida
 
  MLSP-P7.8: KERNEL-BASED TENSOR PARTIAL LEAST SQUARES FOR RECONSTRUCTION OF LIMB MOVEMENTS
         Qibin Zhao; RIKEN Brain Science Institute
         Guoxu Zhou; RIKEN Brain Science Institute
         Tulay Adali; University of Maryland, Baltimore County
         Liqing Zhang; Shanghai Jiao Tong University
         Andrzej Cichocki; RIKEN Brain Science Institute
 
  MLSP-P7.9: METRIC BASED GAUSSIAN KERNEL LEARNING FOR CLASSIFICATION
         Zhenyu Guo; University of British Columbia
         Z. Jane Wang; University of British Columbia
 
  MLSP-P7.10: ADAPTIVE KERNEL CANONICAL CORRELATION ANALYSIS ALGORITHMS FOR MAXIMUM AND MINIMUM VARIANCE
         Steven Van Vaerenbergh; University of Cantabria
         Javier Vía; University of Cantabria
         Julio César Manco-Vásquez; University of Cantabria
         Ignacio Santamaría; University of Cantabria