SPTM-P17: Advanced Statistical Detection and Inference
Poster
Thu, 7 May, 16:30 - 18:30
Location: Poster Area 2
Session Type: Poster
Track: Signal Processing Theory and Methods [TM]
Click the to view the manuscript on IEEE Xplore Open Preview

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-P17.7: OUT-OF-DISTRIBUTION DETECTION BASED ON TOTAL VARIATION ESTIMATION

Dabiao Ma, Zhiba Su, Jian Yang, Haojun Fei, Qifu Technology, China

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