Technical Program

SS-L1: Sparse Signal Techniques for Web Information Processing

Session Type: Lecture
Time: Tuesday, May 28, 10:50 - 12:50
Location: Room 118
Session Chairs: Yuzhe Jin, Microsoft Research and Kuansan Wang, Microsoft Research
 
SS-L1.1: SPARSE LEXICAL REPRESENTATION FOR SEMANTIC ENTITY RESOLUTION
         Yuzhe Jin; Microsoft Research
         Kuansan Wang; Microsoft Research
         Emre Kiciman; Microsoft Research
 
SS-L1.2: EXCEPTIONS IN LANGUAGE AS LEARNED BY THE MULTI-FACTOR SPARSE PLUS LOW-RANK LANGUAGE MODEL
         Brian Hutchinson; University of Washington
         Mari Ostendorf; University of Washington
         Maryam Fazel; University of Washington
 
SS-L1.3: FAST ONLINE L1-DICTIONARY LEARNING ALGORITHMS FOR NOVEL DOCUMENT DETECTION
         Shiva Kasiviswanathan; General Electric Research
 
SS-L1.4: JOINT TOPIC-DOCUMENT MODELING VIA LOW-DIMENSIONAL SPARSE MODELS
         Kerui Min; University of Illinois at Urbana-Champaign
         Yi Ma; Microsoft Research Asia
 
SS-L1.5: BUILDING HIGH-LEVEL FEATURES USING LARGE SCALE UNSUPERVISED LEARNING
         Quoc Le; Stanford University