MLSP-P8: Machine Learning Applications II |
Session Type: Poster |
Time: Wednesday, 6 May, 16:30 - 18:30 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Wee Peng Tay, Nanyang Technological University
|
|
MLSP-P8.1: BLIND BOUNDED SOURCE SEPARATION USING NEURAL NETWORKS WITH LOCAL LEARNING RULES |
Alper Erdogan; Koc University |
Cengiz Pehlevan; Harvard University |
|
MLSP-P8.2: MODELING PIECE-WISE STATIONARY TIME SERIES |
Daoping Wu; Purdue University |
Suhas Gundimeda; Purdue University |
Shaoshuai Mou; Purdue University |
Christopher Quinn; Purdue University |
|
MLSP-P8.3: MULTIVARIATE TROPICAL REGRESSION AND PIECEWISE-LINEAR SURFACE FITTING |
Petros Maragos; National Technical University of Athens |
Emmanouil Theodosis; Harvard University |
|
MLSP-P8.4: REVEALING BACKDOORS, POST-TRAINING, IN DNN CLASSIFIERS VIA NOVEL INFERENCE ON OPTIMIZED PERTURBATIONS INDUCING GROUP MISCLASSIFICATION |
Zhen Xiang; Pennsylvania State University |
David Miller; Anomalee, Inc. |
George Kesidis; Pennsylvania State University |
|
MLSP-P8.5: CLASSIFYING PARTIALLY LABELED NETWORKED DATA VIA LOGISTIC NETWORK LASSO |
Nguyen Tran; Aalto University |
Henrik Ambos; Aalto University |
Alexander Jung; Aalto University |
|
MLSP-P8.6: NEURAL TIME WARPING FOR MULTIPLE SEQUENCE ALIGNMENT |
Keisuke Kawano; Toyota Central R&D Labs. Inc. |
Takuro Kutsuna; Toyota Central R&D Labs. Inc. |
Satoshi Koide; Toyota Central R&D Labs. Inc. |
|
MLSP-P8.7: LANCE: EFFICIENT LOW-PRECISION QUANTIZED WINOGRAD CONVOLUTION FOR NEURAL NETWORKS BASED ON GRAPHICS PROCESSING UNITS |
Guangli Li; Institute of Computing Technology, Chinese Academy of Sciences |
Lei Liu; Institute of Computing Technology, Chinese Academy of Sciences |
Xueying Wang; Institute of Computing Technology, Chinese Academy of Sciences |
Xiu Ma; Jilin University |
Xiaobing Feng; Institute of Computing Technology, Chinese Academy of Sciences |
|
MLSP-P8.8: MEDIA CLASSIFICATION WITH BAYESIAN OPTIMIZATION AND VAPNIK-CHERVONENKIS (VC) BOUNDS |
Sunil Bharitkar; HP Inc. |
|
MLSP-P8.9: BATMAN: BAYESIAN TARGET MODELLING FOR ACTIVE INFERENCE |
Magnus T. Koudahl; Eindhoven University of Technology |
Bert de Vries; Eindhoven University of Technology and GN Hearing |
|
MLSP-P8.10: DEEP LEARNING ABILITIES TO CLASSIFY INTRICATE VARIATIONS IN TEMPORAL DYNAMICS OF MULTIVARIATE TIME SERIES |
Pierre Liotet; Ecole normale supérieure Paris-Saclay |
Patrice Abry; Ecole Normale Superieure de Lyon |
Roberto Leonarduzzi; Ecole Normale Supérieure |
Marc Senneret; Vivienne Investissement |
Laurent Jaffrès; Vivienne Investissement |
Geral Perrin; Vivienne Investissement |
|
MLSP-P8.11: ASSIMILATION-BASED LEARNING OF CHAOTIC DYNAMICAL SYSTEMS FROM NOISY AND PARTIAL DATA |
Duong Nguyen; IMT Atlantique, Lab-STICC |
Said Ouala; IMT Atlantique, Lab-STICC |
Lucas Drumetz; IMT Atlantique, Lab-STICC |
Ronan Fablet; IMT Atlantique, Lab-STICC |
|
MLSP-P8.12: GATED MULTI-LAYER CONVOLUTIONAL FEATURE EXTRACTION NETWORK FOR ROBUST PEDESTRIAN DETECTION |
Tianrui Liu; Imperial College London |
Jun-Jie Huang; Imperial College London |
Tianhong Dai; Imperial College London |
Guangyu Ren; Imperial College London |
Tania Stathaki; Imperial College London |
|