WA8a1: Estimation, Inference, and Learning |
Session Type: Poster |
Time: Wednesday, November 6, 08:15 - 09:55 |
Location: Merrill |
Session Chair: fred harris, University of California, San Diego |
WA8a1-1: LEARNING GRAPH PROCESSES WITH MULTIPLE DYNAMICAL MODELS |
Qin Lu; University of Minnesota |
Vassilis N. Ioannidis; University of Minnesota |
Georgios B. Giannakis; University of Minnesota |
Mario Coutino; Delft University of Technology |
WA8a1-2: ADVERSARIALLY ROBUST HYPOTHESIS TESTING |
Yulu Jin; University of California, Davis |
Lifeng Lai; University of California, Davis |
WA8a1-3: SEPARATING AN OUTLIER FROM A CHANGE |
Deniz Sargun Sargun; Ohio State University |
C. Emre Koksal; Ohio State University |
WA8a1-4: TRACKING MULTIPLE OBJECTS WITH MULTIMODAL DEPENDENT MEASUREMENTS: BAYESIAN NONPARAMETRIC MODELING |
Bahman Moraffah; Arizona State University |
Cesar Brito; Arizona State University |
Bindya Venkatesh; Arizona State University |
Antonia Papandreou-Suppappola; Arizona State University |
WA8a1-5: DISTRIBUTED SEQUENTIAL HYPOTHESIS TESTING WITH DEPENDENT SENSOR OBSERVATIONS |
Shan Zhang; Syracuse University |
Prashant Khanduri; Syracuse University |
Pramod Varshney; Syracuse University |
WA8a1-6: A CONSENSUS-BASED APPROACH FOR DISTRIBUTED QUICKEST DETECTION OF SIGNIFICANT EVENTS IN NETWORKS |
Jian Li; Binghamton University-SUNY |
Don Towsley; University of Massachusetts, Amherst |
Shaofeng Zou; University at Buffalo |
Venugopal V. Veeravalli; University of Illinois at Urbana-Champaign |
Gabriela Ciocarlie; SRI International |
WA8a1-7: SEQUENTIAL TIME-FREQUENCY SIGNATURE ESTIMATION OF MULTI-COMPONENT FM SIGNALS |
Vaishali Amin; Temple University |
Yimin Zhang; Temple University |
Braham Himed; Air Force Research Laboratory |
WA8a1-8: THE RELATIONSHIP BETWEEN TEMPORAL AND SPECTRAL COHERENCE IN THE DETECTION OF CYCLOSTATIONARY PROCESSES |
Stephen Howard; Defence Science & Technology Group |
Songsri Sirianunpiboon; Defence Science & Technology Group |
Douglas Cochran; Arizona State University |
WA8a1-9: PREDICTIVE DISTRIBUTION ESTIMATION FOR BAYESIAN MACHINE LEARNING USING A DIRICHLET PROCESS PRIOR |
Paul Rademacher; U.S. Naval Research Laboratory |
Milos Doroslovacki; George Washington University |