MLSP-L1: Learning Theory I |
| Session Type: Lecture |
| Time: Wednesday, May 17, 10:00 - 12:00 |
| Location: Caravelle 2 |
| Chair: Jan Larsen, Technical University of Denmark |
| MLSP-L1.1: ESTIMATION OF MIXTURES OF SYMMETRIC ALPHA STABLE DISTRIBUTIONS WITH AN UNKNOWN NUMBER OF COMPONENTS |
| Diego Salas-Gonzalez, University of Granada, Spain; Ercan Engin Kuruoglu, ISTI / CNR, Italy; Diego Pablo Ruiz Padillo, University of Granada, Spain |
| MLSP-L1.2: MAXIMUM CONFIDENCE HIDDEN MARKOV MODELING |
| Chih-Pin Liao, Jen-Tzung Chien, National Cheng Kung University, Taiwan |
| MLSP-L1.3: HIDDEN MARKOV MODEL FRAMEWORK USING INDEPENDENT COMPONENT ANALYSIS MIXTURE MODEL |
| Jian Zhou, Pixelworks Inc., Canada; Xiao-Ping Zhang, Ryerson University, Canada |
| MLSP-L1.4: OUTLIER DETECTION IN BENCHMARK CLASSIFICATION TASKS |
| Hongyu Li, Mahesan Niranjan, University of Sheffield, United Kingdom |
| MLSP-L1.5: AN AUGMENTED EXTENDED KALMAN FILTER ALGORITHM FOR COMPLEX-VALUED RECURRENT NEURAL NETWORKS |
| Su Lee Goh, Danilo Mandic, Imperial College London, United Kingdom |
| MLSP-L1.6: AN OPTIMAL BASIS FOR FEATURE EXTRACTION WITH SUPPORT VECTOR MACHINE CLASSIFICATION USING THE RADIUS-MARGIN BOUND |
| Jeff Fortuna, David Capson, McMaster University, Canada |
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