My ICASSP 2017 Schedule

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MLSP-P2: Applications of Machine Learning in Signal Processing II

Session Type: Poster

Time: Monday, March 6, 16:00 - 18:00

Location: Churchill: Poster Area E

Session Chair: Jan Larsen, Technical University of Denmark

MLSP-P2.1: A NOVEL METHODOLOGY TO QUANTIFY DENSE EEG IN COGNITIVE TASKS

Catia S. Silva; Computational NeuroEngineering Laboratory

Andreas Keil; Center for the Study of Emotion and Attention

Jose C. Principe; Computational NeuroEngineering Laboratory

MLSP-P2.2: LEARNING SPECTRUM OPPORTUNITIES IN NON-STATIONARY RADIO ENVIRONMENTS

Jan Oksanen; Aalto University

Visa Koivunen; Aalto University

MLSP-P2.3: HIGH ACCURACY EVENT DETECTION FOR NON-INTRUSIVE LOAD MONITORING

Mohamed Nait Meziane; University of Orléans

Philippe Ravier; University of Orléans

Guy Lamarque; University of Orléans

Jean-Charles Le Bunetel; University of Tours

Yves Raingeaud; University of Tours

MLSP-P2.4: BIOBOTIC MOTION AND BEHAVIOR ANALYSIS IN RESPONSE TO DIRECTIONAL NEUROSTIMULATION

Alireza Dirafzoon; North Carolina State University

Tahmid Latif; North Carolina State University

Fengyuan Gong; North Carolina State University

Mihail Sichitiu; North Carolina State University

Alper Bozkurt; North Carolina State University

Edgar Lobaton; North Carolina State University

MLSP-P2.5: A COMPREHENSIVE STUDY OF DEEP BIDIRECTIONAL LSTM RNNS FOR ACOUSTIC MODELING IN SPEECH RECOGNITION

Albert Zeyer; RWTH Aachen University

Patrick Doetsch; RWTH Aachen University

Paul Voigtlaender; RWTH Aachen University

Ralf Schlüter; RWTH Aachen University

Hermann Ney; RWTH Aachen University

MLSP-P2.6: A SCALABLE CONVOLUTIONAL NEURAL NETWORK FOR TASK-SPECIFIED SCENARIOS VIA KNOWLEDGE DISTILLATION

Mengnan Shi; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences

Fei Qin; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences

Qixiang Ye; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences

Zhenjun Han; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences

Jianbin Jiao; School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences

MLSP-P2.7: DESIGNING EFFICIENT ARCHITECTURES FOR MODELING TEMPORAL FEATURES WITH CONVOLUTIONAL NEURAL NETWORKS

Jordi Pons; Music Technology Group, Universitat Pompeu Fabra, Barcelona

Xavier Serra; Music Technology Group, Universitat Pompeu Fabra, Barcelona

MLSP-P2.8: A CASE STUDY OF MACHINE LEARNING HARDWARE: REAL-TIME SOURCE SEPARATION USING MARKOV RANDOM FIELDS VIA SAMPLING-BASED INFERENCE

Glenn G. Ko; University of Illinois at Urbana-Champaign

Rob A. Rutenbar; University of Illinois at Urbana-Champaign

MLSP-P2.9: MALWARE CLASSIFICATION WITH LSTM AND GRU LANGUAGE MODELS AND A CHARACTER-LEVEL CNN

Ben Athiwaratkun; Cornell University

Jack Stokes; Microsoft

MLSP-P2.10: ENHANCED INDOOR LOCALIZATION THROUGH CROWD SENSING

Eva Arias-de-Reyna; University of Seville

Davide Dardari; University of Bologna

Pau Closas; Northeastern University

Petar M. Djurić; Stony Brook University