Technical Program
NSSIMa.PD: New Sensing and Statistical Inference Methods I |
| Symposium: New Sensing and Statistical Inference Methods |
| Session Type: Poster |
| Time: Tuesday, December 3, 13:30 - 15:30 |
| Location: Poster Area D |
| NSSIMa.PD.1: PLUG-AND-PLAY PRIORS FOR MODEL BASED RECONSTRUCTION |
| Singanallur Venkatakrishnan; Purdue University |
| Charles A. Bouman; Purdue University |
| Brendt Wohlberg; Los Alamos National Laboratory |
| NSSIMa.PD.2: SINGLE IMAGE SUPER RESOLUTION VIA MANIFOLD LINEAR APPROXIMATION USING SPARSE SUBSPACE CLUSTERING |
| Chinh Dang; Michigan State University |
| Mohammad Aghagolzadeh; Michigan State University |
| Abdolreza Moghadam; Michigan State University |
| Hayder Radha; Michigan State University |
| NSSIMa.PD.3: SPATIO-SPECTRAL ANOMALOUS CHANGE DETECTION IN HYPERSPECTRAL IMAGERY |
| James Theiler; Los Alamos National Laboratory |
| NSSIMa.PD.4: LOCAL ERROR DETECTION IN SPARSE MAGNETIC RESONANCE IMAGING |
| Vimal Singh; The University of Texas at Austin |
| Ahmed H. Tewfik; The University of Texas at Austin |
| NSSIMa.PD.5: FUNDAMENTAL LIMITS FOR SUPPORT RECOVERY OF TREE-SPARSE SIGNALS FROM NOISY COMPRESSIVE SAMPLES |
| Akshay Soni; University of Minnesota, Twin Cities |
| Jarvis Haupt; University of Minnesota, Twin Cities |
| NSSIMa.PD.6: ROBUST AND SPARSE ESTIMATION OF TENSOR DECOMPOSITIONS |
| Hyon-Jung Kim; Aalto University |
| Esa Ollila; Aalto University |
| Visa Koivunen; Aalto University |
| Christophe Croux; K.U. Leuven |
| NSSIMa.PD.7: MULTISCALE SPARSE REPRESENTATION CLASSIFICATION FOR ROBUST HYPERSPECTRAL IMAGE ANALYSIS |
| Minshan Cui; University of Houston |
| Saurabh Prasad; University of Houston |
| NSSIMa.PD.8: NEARLY OPTIMAL LINEAR EMBEDDINGS INTO VERY LOW DIMENSIONS |
| Elyot Grant; Massachusetts Institute of Technology |
| Chinmay Hegde; Massachusetts Institute of Technology |
| Piotr Indyk; Massachusetts Institute of Technology |
| NSSIMa.PD.9: LEARNING OVERCOMPLETE DICTIONARIES WITH L0-SPARSE NON-NEGATIVE MATRIX FACTORISATION |
| Ken O'Hanlon; Queen Mary, University of London |
| Mark D. Plumbley; Queen Mary, University of London |
| NSSIMa.PD.10: LEARNING FEATURES IN DEEP LEARNING ARCHITECTURES WITH UNSUPERVISED KERNEL K-MEANS |
| Karl Ni; Lawrence Livermore National Laboratory |
| Ryan Prenger; Lawrence Livermore National Laboratory |
| NSSIMa.PD.11: COMPRESSIVE ANOMALY DETECTION IN LARGE NETWORKS |
| Xiao Li; University of California, Davis |
| H. Vincent Poor; Princeton University |
| Anna Scaglione; University of California, Davis |
| NSSIMa.PD.12: BAYESIAN PAIRWISE COLLABORATION DETECTION IN EDUCATIONAL DATASETS |
| Andrew Waters; Rice University |
| Christoph Studer; Rice University |
| Richard Baraniuk; Rice University |
| NSSIMa.PD.13: CLUSTERING ON MULTI-LAYER GRAPHS VIA SUBSPACE ANALYSIS ON GRASSMANN MANIFOLDS |
| Xiaowen Dong; École Polytechnique Fédérale de Lausanne |
| Pascal Frossard; École Polytechnique Fédérale de Lausanne |
| Pierre Vandergheynst; École Polytechnique Fédérale de Lausanne |
| Nikolai Nefedov; Eidgenössische Technische Hochschule Zürich |
| NSSIMa.PD.14: THRESHOLD EFFECTS IN PARAMETER ESTIMATION FROM COMPRESSED DATA |
| Pooria Pakrooh; Colorado State University |
| Ali Pezeshki; Colorado State University |
| Louis L. Scharf; Colorado State University |
| NSSIMa.PD.15: SPARSE REPRESENTATION CLASSIFICATION VIA SEQUENTIAL LASSO SCREENING |
| Yun Wang; Princeton University |
| Xu Chen; Princeton University |
| Peter J. Ramadge; Princeton University |
| NSSIMa.PD.16: A THEORETICAL FRAMEWORK FOR SURROGATE SUPERVISION MULTIVIEW LEARNING |
| Raviv Raich; Oregon State University |