190 citations · 249 across the 9 of their papers we have counts for
9 papers
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
Siqi Wang, Guang Yu, Zhiping Cai +3
Although deep neural networks (DNNs) enable great progress in video abnormal event detection (VAD), existing solutions typically suffer from two issues: (1) The localization of vid…
Multi-view Deep One-class Classification: A Systematic Exploration
Siqi Wang, Jiyuan Liu, Guang Yu +5
One-class classification (OCC), which models one single positive class and distinguishes it from the negative class, has been a long-standing topic with pivotal application to real…
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
Guang Yu, Siqi Wang, Zhiping Cai +4
As a vital topic in media content interpretation, video anomaly detection (VAD) has made fruitful progress via deep neural network (DNN). However, existing methods usually follow a…
Unsupervised Heterogeneous Coupling Learning for Categorical Representation
Chengzhang Zhu, Longbing Cao, Jianping Yin
Complex categorical data is often hierarchically coupled with heterogeneous relationships between attributes and attribute values and the couplings between objects. Such value-to-o…
Understand Dynamic Regret with Switching Cost for Online Decision Making
Yawei Zhao, Qian Zhao, Xingxing Zhang +3
As a metric to measure the performance of an online method, dynamic regret with switching cost has drawn much attention for online decision making problems. Although the sublinear…
Simultaneous Clustering and Optimization for Evolving Datasets
Yawei Zhao, En Zhu, Xinwang Liu +3
Simultaneous clustering and optimization (SCO) has recently drawn much attention due to its wide range of practical applications. Many methods have been previously proposed to solv…
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit
Yawei Zhao, En Zhu, Xinwang Liu +1
We provide a new theoretical analysis framework to investigate online gradient descent in the dynamic environment. Comparing with the previous work, the new framework recovers the…
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets
Yawei Zhao, Kai Xu, Xinwang Liu +3
Recently, network lasso has drawn many attentions due to its remarkable performance on simultaneous clustering and optimization. However, it usually suffers from the imperfect data…
Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification
Fayao Liu, Luping Zhou, Chunhua Shen +1
To achieve effective and efficient detection of Alzheimer's disease (AD), many machine learning methods have been introduced into this realm. However, the general case of limited t…