SPTM-P17.4
LEARNING FALSE DISCOVERY RATE CONTROL VIA MODEL-BASED NEURAL NETWORKS
Arnau Vilella, The Hong Kong University of Science and Technology, Hong Kong; Jasin Machkour, Michael Muma, Technische Universität Darmstadt, Germany; Daniel P. Palomar, The Hong Kong University of Science and Technology, Hong Kong
Session:
SPTM-P17: Advanced Statistical Detection and Inference Poster
Track:
Signal Processing Theory and Methods [TM]
Location:
Poster Area 2
Presentation Time:
Thu, 7 May, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session SPTM-P17
SPTM-P17.1: COUNTING DISTINCT MULTIVARIATE SELF-SIMILARITY PARAMETERS USING A BOOTSTRAP-DRIVEN GRAPH CLUSTERING APPROACH
Charles-Gérard Lucas, Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, United States of America; Herwig Wendt, CNRS, University of Toulouse, France; Patrice Abry, CNRS, ENS de Lyon, France; Gustavo Didier, Tulane University, United States of America
SPTM-P17.2: DIFFERENTIALLY PRIVATE WEIGHTED K-SELECTION AT SCALE
Vlady RAVELOMANANA, Université Paris Cité, France
SPTM-P17.3: ANGULARDINO: SEMI-SUPERVISED ANOMALY DETECTION VIA SELF-DISTILLATION WITH HYBRID ANGULAR MARGIN
Miya Nakajima, Kazuki Miyakoshi, Tsuyoshi Kato, Gunma University, Japan
SPTM-P17.4: LEARNING FALSE DISCOVERY RATE CONTROL VIA MODEL-BASED NEURAL NETWORKS
Arnau Vilella, The Hong Kong University of Science and Technology, Hong Kong; Jasin Machkour, Michael Muma, Technische Universität Darmstadt, Germany; Daniel P. Palomar, The Hong Kong University of Science and Technology, Hong Kong
SPTM-P17.5: PULL-PUSHING CANNY EDGE EXTRACTION
Yidi Shao, University of California, San Diego, United States of America; Yanlin Qian, Tampere University, China
SPTM-P17.6: RADIOMETRIC VARIATION-AWARE ROBUST CHANGE DETECTION FOR MULTISPECTRAL SATELLITE IMAGES VIA CONVEX OPTIMIZATION
Neo Kobayashi, Ryosuke Isono, Shunsuke Ono, Institute of Science Tokyo, Japan
SPTM-P17.7: OUT-OF-DISTRIBUTION DETECTION BASED ON TOTAL VARIATION ESTIMATION
Dabiao Ma, Zhiba Su, Jian Yang, Haojun Fei, Qifu Technology, China
SPTM-P17.8: ROBUST HYPERSPECTRAL ANOMALY DETECTION VIA CONSTRAINED DIFFERENCE-OF-CONVEX OPTIMIZATION UNDER MIXED NOISE CONTAMINATION
Koyo Sato, Shunsuke Ono, Institute of Science Tokyo, Japan
SPTM-P17.9: Asymptotic Error Rates for Point Process Classification
Xinhui Rong, University of Melbourne, Australia; Victor Solo, University of New South Wales, Australia
SPTM-P17.10: Asymptotic Classification Error for Heavy-Tailed Renewal Processes
Xinhui Rong, University of Melbourne, Australia; Victor Solo, University of New South Wales, Australia
Contacts