MA.L3: Inverse Problems and Compressive Sensing

Session Type: Oral
Time: Monday, September 16, 10:40 - 13:00
Location: Room 216
Session Chair: Vivek Goyal, Massachusettes Institute of Technology
 
Presented 10:40 - 11:00
MA.L3.1: JOINT BLIND DEBLURRING AND DESTRIPING FOR REMOTE SENSING IMAGES
         Yi Chang; HuaZhong University of Science and Technology
         Houzhang Fang; HuaZhong University of Science and Technology
         Luxin Yan; HuaZhong University of Science and Technology
         Hai Liu; HuaZhong University of Science and Technology
 
Presented 11:00 - 11:20
MA.L3.2: OPTIMIZED JPEG IMAGE DECOMPRESSION WITH SUPER-RESOLUTION INTERPOLATION USING MULTI-ORDER TOTAL VARIATION
         Shunsuke Ono; Tokyo Institute of Technology
         Isao Yamada; Tokyo Institute of Technology
 
Presented 11:20 - 11:40
MA.L3.3: FAST VARIATIONAL BAYESIAN APPROACHES APPLIED TO LARGE DIMENSIONAL PROBLEMS
         Yuling Zheng; University of Paris-Sud
         Thomas Rodet; University of Paris-Sud
         Aurelia Fraysse; University of Paris-Sud
 
Presented 11:40 - 12:00
MA.L3.4: LOGARITHMIC TOTAL VARIATION REGULARIZATION FOR CROSS-VALIDATION IN PHOTON-LIMITED IMAGING
         Albert Oh; Duke University
         Zachary Harmany; University of Wisconsin-Madison
         Rebecca Willett; Duke University
 
Presented 12:00 - 12:20
MA.L3.5: SPARSE SEQUENCE RECOVERY VIA A MAXIMUM A POSTERIORI ESTIMATION
         Md Mashud Hyder; The University of Newcastle
         Kaushik Mahata; The University of Newcastle
 
Presented 12:20 - 12:40
MA.L3.6: KERNEL COMPRESSIVE SENSING
         Farhad Pourkamali Anaraki; University of Colorado at Boulder
         Shannon M. Hughes; University of Colorado at Boulder
 
Presented 12:40 - 13:00
MA.L3.7: RESTRICTED BOLTZMANN MACHINE APPROACH TO COUPLE DICTIONARY TRAINING FOR IMAGE SUPER-RESOLUTION
         Junbin Gao; Charles Sturt University
         Yi Guo; Commonwealth Scientific and Industrial Research Organization (CSIRO) Mathematics, Informatics and Statistics
         Ming Yin; Guangdong University of Technology