Technical Program

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2020 Open Preview.

MLSP-L6: Sparsity Aware Processing and Learning

Session Type: Lecture
Time: Thursday, 7 May, 11:30 - 13:30
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Danilo Comminiello, University of Rome
 
 MLSP-L6.1: OPTIMAL LAPLACIAN REGULARIZATION FOR SPARSE SPECTRAL COMMUNITY DETECTION
         Lorenzo Dall'Amico; GIPSA lab - Grenoble INP
         Romain Couillet; GIPSA lab - Grenoble INP
         Nicolas Tremblay; GIPSA lab - Grenoble INP
 
 MLSP-L6.2: ANOMALY DETECTION IN MIXED TIME-SERIES USING A CONVOLUTIONAL SPARSE REPRESENTATION WITH APPLICATION TO SPACECRAFT HEALTH MONITORING
         Barbara Pilastre; TéSA
         Gustavo Silva; Pontifica Universidad Catolica del Peru
         Loïc Boussouf; Airbus Defence and Space
         Stéphane D'Escrivan; CNES
         Paul Rodriguez; Pontifica Universidad Catolica del Peru
         Jean-Yves Tourneret; ENSEEIHT-IRIT/TéSA
 
 MLSP-L6.3: VARIATIONAL STUDENT: LEARNING COMPACT AND SPARSER NETWORKS IN KNOWLEDGE DISTILLATION FRAMEWORK
         Srinidhi Hegde; TCS Research
         Ranjitha Prasad; TCS Research
         Ramya Hebbalaguppe; TCS Research
         Vishwajeet Kumar; IIT Kharagpur
 
 MLSP-L6.4: LOW RANK ACTIVATIONS FOR TENSOR-BASED CONVOLUTIONAL SPARSE CODING
         Pierre Humbert; CMLA - École normale supérieure Paris-Saclay
         Julien Audiffren; CMLA - École normale supérieure Paris-Saclay
         Laurent Oudre; L2TI Universite Paris 13
         Nicolas Vayatis; CMLA - École normale supérieure Paris-Saclay