Technical Program

MLSP-L6: Deep Learning III

Session Type: Lecture
Time: Thursday, March 9, 08:30 - 10:30
Location: Grand Salon 3
Session Chair: Yuejie Chi, Ohio State University, USA
 
MLSP-L6.1: DISJUNCTIVE NORMAL SHAPE BOLTZMANN MACHINE
         Ertunc Erdil; Sabanci University
         Fitsum Mesadi; Utah University
         Tolga Tasdizen; Utah University
         Mujdat Cetin; Sabanci University
 
MLSP-L6.2: TRAINING DATA REDUCTION IN DEEP NEURAL NETWORKS WITH PARTIAL MUTUAL INFORMATION BASED FEATURE SELECTION AND CORRELATION MATCHING BASED ACTIVE LEARNING
         Jian Zheng; State University of New York at Binghamton
         Wei Yang; State University of New York at Binghamton
         Xiaohua Li; State University of New York at Binghamton
 
MLSP-L6.3: RECONSTRUCTION-ERROR-BASED LEARNING FOR CONTINUOUS EMOTION RECOGNITION IN SPEECH
         Jing Han; University of Passau
         Zixing Zhang; University of Passau
         Fabien Ringeval; University of Grenoble Alpes
         Bj√∂rn Schuller; University of Passau
 
MLSP-L6.4: INFERRING LATENT STATES IN A NETWORK INFLUENCED BY NEIGHBOR ACTIVITIES: AN UNDIRECTED GENERATIVE APPROACH
         Buddhika Samarakoon; University of Miami
         Manohar N. Murthi; University of Miami
         Kamal Premaratne; University of Miami
 
MLSP-L6.5: DISCRIMINATIVE RECURRING SIGNAL DETECTION AND LOCALIZATION
         Zeyu You; Oregon State University
         Raviv Raich; Oregon State University
         Xiaoli Z. Fern; Oregon State University
         Jinsub Kim; Oregon State University
 
MLSP-L6.6: A NOVEL LAYERWISE PRUNING METHOD FOR MODEL REDUCTION OF FULLY CONNECTED DEEP NEURAL NETWORKS
         Lukas Mauch; University of Stuttgart
         Bin Yang; University of Stuttgart