Technical Program

NSSIMb.PD: New Sensing and Statistical Inference Methods II

Symposium: New Sensing and Statistical Inference Methods
Session Type: Poster
Time: Tuesday, December 3, 16:00 - 18:00
Location: Poster Area D
 
NSSIMb.PD.1: STRUCTURED SAMPLING OF STRUCTURED SIGNALS
         Bo Li; Rutgers, The State University of New Jersey
         Athina Petropulu; Rutgers, The State University of New Jersey
 
NSSIMb.PD.2: ANAMORPHIC TIME STRETCH TRANSFORM AND ITS APPLICATION TO ANALOG BANDWIDTH COMPRESSION
         Mohammad H. Asghari; University of California, Los Angeles
         Bahram Jalali; University of California, Los Angeles
 
NSSIMb.PD.3: SUB-NYQUIST MEDICAL ULTRASOUND IMAGING: EN ROUTE TO CLOUD PROCESSING
         Alon Eilam; Technion - Israel Institute of Technology
         Tanya Chernyakova; Technion - Israel Institute of Technology
         Yonina C. Eldar; Technion - Israel Institute of Technology
         Arcady Kempinski; General Electric Healthcare
 
NSSIMb.PD.4: DOMAIN-SPECIFIC PROGRESSIVE SAMPLING OF FACE IMAGES
         Jianxiong Liu; Imperial College London
         Christos Bouganis; Imperial College London
         Peter Y.K. Cheung; Imperial College London
 
NSSIMb.PD.5: INFINITE GAUSSIAN MIXTURE MODELS FOR ROBUST DECISION FUSION OF HYPERSPECTRAL IMAGERY AND FULL WAVEFORM LIDAR DATA
         Hao Wu; University of Houston
         Saurabh Prasad; University of Houston
 
NSSIMb.PD.6: PROJECTIONS DESIGNS FOR COMPRESSIVE CLASSIFICATION
         Hugo Reboredo; Instituto de Telecomunicações, Universidade do Porto
         Francesco Renna; Instituto de Telecomunicações, Universidade do Porto
         Robert Calderbank; Duke University
         Miguel R. D. Rodrigues; University College London
 
NSSIMb.PD.7: ADAPTIVE DICTIONARIES FOR COMPRESSIVE IMAGING
         Mohammad Aghagolzadeh; Michigan State University
         Hayder Radha; Michigan State University
 
NSSIMb.PD.8: TRACK ESTIMATION USING LINK LINE CROSSING INFORMATION IN WIRELESS NETWORKS
         Peter Hillyard; University of Utah
         Samira Daruki; University of Utah
         Neal Patwari; University of Utah
         Suresh Venkatasubramanian; University of Utah
 
NSSIMb.PD.9: TWO-PART RECONSTRUCTION IN COMPRESSED SENSING
         Yanting Ma; North Carolina State University
         Dror Baron; North Carolina State University
         Deanna Needell; Claremont McKenna College
 
NSSIMb.PD.10: DUAL-SCALE MASKS FOR SPATIO-TEMPORAL COMPRESSIVE IMAGING
         Zachary Harmany; University of Wisconsin-Madison
         Roummel Marcia; University of California, Merced
         Rebecca Willett; University of Wisconsin-Madison
 
NSSIMb.PD.11: INFORMATION-DRIVEN SENSOR PLANNING: NAVIGATING A STATISTICAL MANIFOLD
         Douglas Cochran; Arizona State University
         Alfred O. Hero; University of Michigan
 
NSSIMb.PD.12: PARAMETRIC POISSON PROCESS IMAGING
         Dongeek Shin; Massachusetts Institute of Technology
         Ahmed Kirmani; Massachusetts Institute of Technology
         Andrea Colaco; Massachusetts Institute of Technology
         Vivek Goyal; Massachusetts Institute of Technology
 
NSSIMb.PD.13: DISTRIBUTED ESTIMATION IN SENSOR NETWORKS WITH QUALITY FEEDBACK: A GENERAL FRAMEWORK
         Nicolo Michelusi; University of Southern California
         Urbashi Mitra; University of Southern California
 
NSSIMb.PD.14: PERFORMANCE GUARANTEES FOR UNDERSAMPLED RECURSIVE SPARSE RECOVERY IN LARGE BUT STRUCTURED NOISE
         Brian Lois; Iowa State University
         Namrata Vaswani; Iowa State University
         Chenlu Qiu; Iowa State University
 
NSSIMb.PD.15: COMPUTATIONALLY-EFFICIENT BLIND SUB-NYQUIST SAMPLING FOR SPARSE SPECTRA
         Sameer Pawar; University of California, Berkeley
         Venkatesan Ekambaram; University of California, Berkeley
         Kannan Ramchandran; University of California, Berkeley