Technical Program
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 |