Technical Program

SPTM-P7: Sampling and Reconstruction Methods II

Session Type: Poster
Time: Wednesday, March 23, 16:00 - 18:00
Location: Poster Area F
Session Chair: Isao Yamada, Tokyo Institute of Technology
 
SPTM-P7.1: A RECURSIVE PREDICTIVE RISK ESTIMATE FOR PROXIMAL ALGORITHMS
         Feng Xue; National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics
         Runle Du; National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics
         Jiaqi Liu; National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics
 
SPTM-P7.2: SPARSITY-BASED RECONSTRUCTION METHOD FOR SIGNALS WITH FINITE RATE OF INNOVATION
         Guoxing Huang; Harbin Institute of Technology
         Ning Fu; Harbin Institute of Technology
         Jingchao Zhang; Harbin Institute of Technology
         Liyan Qiao; Harbin Institute of Technology
 
SPTM-P7.3: GROUP SPARSE BAYESIAN LEARNING VIA EXACT AND FAST MARGINAL LIKELIHOOD MAXIMIZATION
         Zeqiang Ma; Tsinghua University
         Wei Dai; Imperial College London
         Yimin Liu; Tsinghua University
         Xiqin Wang; Tsinghua University
 
SPTM-P7.4: AN UNBIASED RISK ESTIMATOR FOR GAUSSIAN MIXTURE NOISE DISTRIBUTIONS — APPLICATION TO SPEECH DENOISING
         Jishnu Sadasivan; Indian Institute of Science
         Chandra Sekhar Seelamantula; Indian Institute of Science
 
SPTM-P7.5: PRECISE PHASE TRANSITION OF TOTAL VARIATION MINIMIZATION
         Bingwen Zhang; Worcester Polytechnic Institute
         Weiyu Xu; University of Iowa
         Jian-Feng Cai; Hong Kong University of Science and Technology
         Lifeng Lai; Worcester Polytechnic Institute
 
SPTM-P7.6: IMAGE RESTORATION USING A STOCHASTIC VARIANT OF THE ALTERNATING DIRECTION METHOD OF MULTIPLIERS
         Shunsuke Ono; Tokyo Institute of Technology
         Masao Yamagishi; Tokyo Institute of Technology
         Takamichi Miyata; Chiba Institute of Technology
         Itsuo Kumazawa; Tokyo Institute of Technology
 
SPTM-P7.7: VECTORIAL TOTAL VARIATION BASED ON ARRANGED STRUCTURE TENSOR FOR MULTICHANNEL IMAGE RESTORATION
         Shunsuke Ono; Tokyo Institute of Technology
         Keiichiro Shirai; Shinshu University
         Masahiro Okuda; The University of Kitakyushu
 
SPTM-P7.8: LOWER BOUNDS ON THE L_2-NORMS OF DIGITAL RESAMPLING FILTERS WITH ZERO-VALUED INPUT SAMPLES
         Hakan Johansson; Linköping University
         Anu Kalidas M. Pillai; Linköping University
 
SPTM-P7.9: A FAST DUAL ITERATIVE ALGORITHM FOR CONVEXLY CONSTRAINED SPLINE SMOOTHING
         Masao Yamagishi; Tokyo Institute of Technology
         Daichi Kitahara; Tokyo Institute of Technology
         Isao Yamada; Tokyo Institute of Technology
 
SPTM-P7.10: SPARSE RECOVERY OF MULTIPLE MEASUREMENT VECTORS IN IMPULSIVE NOISE: A SMOOTH BLOCK SUCCESSIVE MINIMIZATION ALGORITHM
         Zhen-Qing He; National Key Lab of Communications,University of Electronic Science & Technology of China
         Zhi-Ping Shi; National Key Lab of Communications,University of Electronic Science & Technology of China
         Lei Huang; College of Information Engineering, Shenzhen University, China
         Hongbin Li; Stevens Institute of Technology
         Hing Cheung So; City University of Hong Kong
 

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