Technical Program

MLSP-L7: Deep Learning IV

Session Type: Lecture
Time: Thursday, March 9, 13:30 - 15:30
Location: Grand Salon 3
Session Chair: Nelly Pustelnik, ENS Lyon, France
 
MLSP-L7.1: FLOW BASED BOTNET DETECTION THROUGH SEMI-SUPERVISED ACTIVE LEARNING
         Zhicong Qiu; The Pennsylvania State University
         David J. Miller; The Pennsylvania State University
         George Kesidis; The Pennsylvania State University
 
MLSP-L7.2: CONVOLUTIONAL RECURRENT NEURAL NETWORKS FOR MUSIC CLASSIFICATION
         Keunwoo Choi; Queen Mary University of London
         György Fazekas; Queen Mary University of London
         Mark B. Sandler; Queen Mary University of London
         Kyunghyun Cho; New York University
 
MLSP-L7.3: RANDOM MATRICES MEET MACHINE LEARNING: A LARGE DIMENSIONAL ANALYSIS OF LS-SVM
         Zhenyu Liao; CentraleSupélec, Université Paris-Saclay
         Romain Couillet; CentraleSupélec, Université Paris-Saclay
 
MLSP-L7.4: THE GROUP K-SUPPORT NORM FOR LEARNING WITH STRUCTURED SPARSITY
         Nikhil Rao; Technicolor
         Miroslav Dudik; Microsoft
         Zaid Harchaoui; University of Washington
 
MLSP-L7.5: RODLSR: ROBUST DISCRIMINATIVE LEAST SQUARES REGRESSION MODEL FOR MULTI-CATEGORY CLASSIFICATION
         Lingfeng Wang; Institute of Automation, Chinese Academy of Sciences
         Shuaizheng Liu; Institute of Automation, Chinese Academy of Sciences
         Chunhong Pan; Institute of Automation, Chinese Academy of Sciences
 
MLSP-L7.6: LEARNING COMPLEX-VALUED LATENT FILTERS WITH ABSOLUTE COSINE SIMILARITY
         Anh H. T. Nguyen; Nanyang Technological University
         Vaninirappuputhenpurayil gopalan  Reju; Nanyang Technological University
         Andy W. H. Khong; Nanyang Technological University
         Ing Yann Soon; Nanyang Technological University