Technical Program

TM-L.1: Theory/Algorithms I

Symposium: Tensor Methods for Signal Processing and Machine Learning
Session Type: Lecture
Time: Wednesday, November 28, 11:00 - 12:30
Location: Castle
Session Chair: Vagelis Papalexakis, University of California Riverside
 
11:00 - 11:18
TM-L.1.1: IMPUTATION OF COUPLED TENSORS AND GRAPHS
         Vassilis N. Ioannidis; University of Minnesota
         Ahmed S. Zamzam; University of Minnesota
         Georgios B. Giannakis; University of Minnesota
         Nicholas D. Sidiropoulos; University of Virginia
 
11:18 - 11:36
TM-L.1.2: NONLINEAR DIMENSIONALITY REDUCTION VIA POLYNOMIAL PRINCIPAL COMPONENT ANALYSIS
         Abbas Kazemipour; Stanford University
         Shaul Druckmann; Stanford University
 
11:36 - 11:54
TM-L.1.3: SPARSE DISCRIMINATIVE TENSOR DICTIONARY LEARNING FOR OBJECT CLASSIFICATION
         Seyyid Emre Sofuoglu; Michigan State University
         Selin Aviyente; Michigan State University
 
11:54 - 12:12
TM-L.1.4: SIMPLIFIED ALGORITHMS FOR CANONICAL POLYADIC DECOMPOSITION FOR OVER-COMPLETE EVEN ORDER TENSORS (ONGOING WORK)
         Ali Koochakzadeh; University of California, San Diego
         Piya Pal; University of California, San Diego