WA1.L4.2
An Alpha-Divergence Approach to Robust Canonical Correlation Analysis
Wenjing Yang, Abd-Krim Seghouane, Pavel Krupskiy, The University of Melbourne, Australia
Session:
WA1.L4: Robust Machine Learning Methods for Image & Video Processing - VI Lecture
Track:
Visual Artificial Intelligence
Location:
Lecture Room 4
Presentation Time:
Wed, 30 Oct, 08:48 - 09:06 Gulf Standard Time (UTC +4)
Session Chair:
Abd-Krim Seghouane, The University of Melbourne
Session WA1.L4
WA1.L4.1: TOWARDS ROBUST VISUAL LOCALIZATION USING MULTI-VIEW IMAGES AND HD VECTOR MAP
Lili Zhao, China Mobile Research Institute, China; Zhili Liu, Free Researcher, China; Qian Yin, Peking University, China; Lei Yang, Meng Guo, China Mobile Research Institute, China
WA1.L4.2: An Alpha-Divergence Approach to Robust Canonical Correlation Analysis
Wenjing Yang, Abd-Krim Seghouane, Pavel Krupskiy, The University of Melbourne, Australia
WA1.L4.3: VF-NET: ROBUSTNESS VIA UNDERSTANDING DISTORTIONS AND TRANSFORMATIONS
Fatemeh Amerehi, Patrick Healy, University of Limerick, Ireland
WA1.L4.4: FACTORIZED EMBEDDING GRAPH MATCHING NETWORK FOR LEARNING LAWLER’S QUADRATIC ASSIGNMENT PROBLEM
Yirui Yang, Guangdong University of Technology, China; Xubin Lin, Guangdong Academy of Sciences, China; Li He, Southern University of Science and Technology, China; Yisheng Guan, Guangdong University of Technology, China; Hong Zhang, Southern University of Science and Technology, China
WA1.L4.5: PUAD: FRUSTRATINGLY SIMPLE METHOD FOR ROBUST ANOMALY DETECTION
Shota Sugawara, The University of Tokyo, Japan; Ryuji Imamura, LeapMind Inc., Japan
Contacts