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Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
Yixi Xu, Xiao Wang
This paper presents a general framework for norm-based capacity control for weight normalized deep neural networks. We establish the upper bound on the Rademacher complex…
Numerical analysis and applications of Fokker-Planck equations for stochastic dynamical systems with multiplicative -stable noises
Yanjie Zhang, Xiao Wang, Qiao Huang +2
The Fokker-Planck equations (FPEs) for stochastic systems driven by additive symmetric -stable noises may not adequately describe the time evolution for the probability densitie…
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks
Siyue Wang, Xiao Wang, Pu Zhao +4
Deep neural networks (DNNs) are known vulnerable to adversarial attacks. That is, adversarial examples, obtained by adding delicately crafted distortions onto original legal inputs…
Billion-scale Network Embedding with Iterative Random Projection
Ziwei Zhang, Peng Cui, Haoyang Li +2
Network embedding, which learns low-dimensional vector representation for nodes in the network, has attracted considerable research attention recently. However, the existing method…
Tracking Multiple Moving Objects Using Unscented Kalman Filtering Techniques
Xi Chen, Xiao Wang, Jianhua Xuan
It is an important task to reliably detect and track multiple moving objects for video surveillance and monitoring. However, when occlusion occurs in nonlinear motion scenarios, ma…
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition
Ming Zeng, Tong Yu, Xiao Wang +3
Labeled data used for training activity recognition classifiers are usually limited in terms of size and diversity. Thus, the learned model may not generalize well when used in rea…