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My ICASSP 2017 Schedule

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IDSP-P1: Emerging and Industry Signal Processing Applications

Session Type: Poster
Time: Tuesday, March 7, 13:30 - 15:30
Location: Churchill: Poster Area I
Session Chair: Michael Deisher, Intel, USA
 
  IDSP-P1.1: DIAGONAL MICROPHONE PLACEMENT FOR THE LANDSCAPE/PORTRAIT INTERCHANGEABLE MODE OF A PERSONAL COMPUTER
         Ryoji Miyahara; NEC Corporation
         Akihiko Sugiyama; NEC Corporation
 
  IDSP-P1.2: DUAL-FISHEYE LENS STITCHING FOR 360-DEGREE IMAGING
         Tuan Ho; The University of Texas at Arlington
         Madhukar Budagavi; Samsung Research America
 
  IDSP-P1.3: DEEP LEARNING BASED AUTOMATIC VOLUME CONTROL AND LIMITER SYSTEM
         Jun Yang; Amazon Lab126
         Philip Hilmes; Amazon Lab126
         Brian Adair; Amazon Lab126
         David W. Krueger; Amazon Lab126
 
  IDSP-P1.4: COMPRESSIVE SENSING STRATEGY FOR CLASSIFICATION OF BEARING FAULTS
         Hosameldin Ahmed; Brunel University London
         Dennis MouLing Wong; Swinburne University of Technology Sarawak Campus
         Asoke Nandi; Brunel University London
 
  IDSP-P1.5: A RAILROAD DETECTION ALGORITHM FOR INFRASTRUCTURE SURVEILLANCE USING ENDURING AIRBORNE SYSTEMS
         Andrei Purica; LTCI, CNRS, Telecom ParisTech, Universite Paris-Saclay, 75013, Paris, France
         Beatrice Pesquet-Popescu; LTCI, CNRS, Telecom ParisTech, Universite Paris-Saclay, 75013, Paris, France
         Frederic Dufaux; LTCI, CNRS, Telecom ParisTech, Universite Paris-Saclay, 75013, Paris, France
 
  IDSP-P1.6: IN-SITU CALIBRATION OF ACCELEROMETERS IN BODY-WORN SENSORS USING QUIESCENT GRAVITY
         Andrew Nadeau; University of Rochester
         Karthik Dinesh; University of Rochester
         Gaurav Sharma; University of Rochester
         Mulin Xiong; University of Rochester Medical Center
 
  IDSP-P1.7: A FAST FACE CLUSTERING METHOD FOR INDEXING APPLICATIONS ON MOBILE PHONES
         Sudha Velusamy; Samsung Research & Development Institute
         Pratibha Moogi; Samsung Research & Development Institute
 
  IDSP-P1.8: NOVELTY DETECTION FOR PREDICTING FALLS RISK USING SMARTPHONE GAIT DATA
         Matthew Martinez; Sandia National Laboratories
         Phillip De Leon; New Mexico State University
         David Keeley; New Mexico State University