MLSP-L2: Learning Theory |
| Session Type: Lecture |
| Time: Friday, March 30, 10:30 - 12:30 |
| Location: Room B-2 |
| Session Chairs: Saeid Sanei, University of Surrey and Javier Vía Rodríguez, University of Cantabria
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MLSP-L2.1: ADAPTIVE KERNEL PRINCIPAL COMPONENTS TRACKING
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| Toshihisa Tanaka; TUAT
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| Yoshikazu Washizawa; UEC
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| Anthony Kuh; University of Hawaii
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MLSP-L2.2: BASIS VECTOR ORTHOGONALIZATION FOR AN IMPROVED KERNEL GRADIENT MATCHING PURSUIT METHOD
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| Yotaro Kubo; NTT Corporation
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| Shinji Watanabe; NTT Corporation
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| Atsushi Nakamura; NTT Corporation
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| Simon Wiesler; RWTH Aachen University
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| Ralf Schlüter; RWTH Aachen University
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| Hermann Ney; RWTH Aachen University
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MLSP-L2.3: TUNING-FREE JOINT SPARSE RECOVERY VIA OPTIMIZATION TRANSFER
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| Evgenia Chunikhina; Oregon State University
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| Gregory Gutshall; Oregon State University
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| Raviv Raich; Oregon State University
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| Thinh Nguyen; Oregon State University
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MLSP-L2.4: FEATURE SELECTION FOR COMPOSITE HYPOTHESIS TESTING WITH SMALL SAMPLES: FUNDAMENTAL LIMITS AND ALGORITHMS
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| Dayu Huang; University of Illinois at Urbana-Champaign
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| Sean Meyn; University of Illinois at Urbana-Champaign
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MLSP-L2.5: A HETEROSCEDASTIC EXTENSION OF LDA BASED ON MULTI-CLASS MATUSITA AFFINITY
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| Mohammad Shahin Mahanta; University of Toronto
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| Konstantinos N. Plataniotis; University of Toronto
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MLSP-L2.6: A MODE-BASED CLUSTERING ALGORITHM WITHOUT MODE SEEKING
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| Esra Ataer-Cansizoglu; Northeastern University
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| Deniz Erdogmus; Northeastern University
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