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WE3.I: Signal Processing for Emerging Industry Applications

Session Type: Lecture
Time: Wednesday, 6 May, 16:30 - 18:30
Location: On-Demand
Session Chairs: Ivan Tashev, Microsoft and Mike Polley, Samsung
 
   WE3.I.1: FAST START-UP ALGORITHM FOR ADAPTIVE NOISE CANCELLERS WITH NOVEL SNR ESTIMATION AND STEPSIZE CONTROL
         Akihiko Sugiyama; Yahoo Japan Corporation
 
   WE3.I.2: ROBUST AND COMPUTATIONALLY-EFFICIENT ANOMALY DETECTION USING POWERS-OF-TWO NETWORKS
         Usama Muneeb; University of Illinois at Chicago
         Erdem Koyuncu; University of Illinois at Chicago
         Yasaman Keshtkarjahromi; Seagate Technology LLC
         Hulya Seferoglu; University of Illinois at Chicago
         Mehmet Fatih Erden; Seagate Technology LLC
         Ahmet Enis Cetin; University of Illinois at Chicago
 
   WE3.I.3: SEMI-SUPERVISED OPTIMAL TRANSPORT METHODS FOR DETECTING ANOMALIES
         Amina Alaoui-Belghiti; Hensoldt Nexeya
         Sylvain Chevallier; LISV - UVSQ
         Eric Monacelli; LISV - UVSQ
         Guillaume Bao; Garches Neuro-Physio-Lab
         Eric Azabou; Garches Neuro-Physio-Lab
 
   WE3.I.4: LEARNING TO ESTIMATE DRIVER DROWSINESS FROM CAR ACCELERATION SENSORS USING WEAKLY LABELED DATA
         Takayuki Katsuki; IBM Japan, Ltd
         Kun Zhao; IBM Japan, Ltd
         Takayuki Yoshizumi; IBM Japan, Ltd
 
   WE3.I.5: DAMAGE-SENSITIVE AND DOMAIN-INVARIANT FEATURE EXTRACTION FOR VEHICLE-VIBRATION-BASED BRIDGE HEALTH MONITORING
         Jingxiao Liu; Stanford University
         Bingqing Chen; Carnegie Mellon University
         Siheng Chen; Mitsubishi Electric Research Laboratories (MERL)
         Mario Berges; Carnegie Mellon University
         Jacobo Bielak; Carnegie Mellon University
         HaeYoung Noh; Stanford University
 
   WE3.I.6: ON ROBUST VARIANCE FILTERING AND CHANGE OF VARIANCE DETECTION
         Qingsong Wen; Alibaba Group U.S.
         Zhengzhi Ma; University of Southern California
         Liang Sun; Alibaba Group U.S.