87 Result(s)

Chapter and Conference Paper

A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room

In recent years, distributed computer vision has gained a lot of attention within the computer vision community for applications such as video surveillance and object tracking. The collective information gathe...

Deepak R. Karuppiah, Zhigang Zhu, Prashant Shenoy… in Computer Vision Systems (2001)

Chapter and Conference Paper

Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays

For the convenience of computer simulation, the discrete-time systems in practice are often considered. In this paper, Discrete-time cellular neural networks (DTCNNs) are formulated and studied in a regime whe...

Zhigang Zeng, Boshan Chen, Zengfu Wang in Advances in Neural Networks – ISNN 2005 (2005)

Chapter and Conference Paper

Blind Extraction of Singularly Mixed Source Signals

In this paper, a neural network model and its associate learning rule are developed for sequential blind extraction in the case that the number of observable mixed signals is less than the one of sources. This...

Zhigang Zeng, Chao** Fu in Advances in Natural Computation (2005)

Chapter and Conference Paper

Gait Recognition Using Independent Component Analysis

This paper presents a new method for automatic gait recognition using independent component analysis (ICA). Firstly, a simple background subtraction algorithm is introduced to segment the moving figures accura...

Jiwen Lu, Erhu Zhang, Zhigang Zhang, Yanxue Xue in Advances in Neural Networks – ISNN 2005 (2005)

Chapter and Conference Paper

Applying Prior Knowledge in the Segmentation of 3D Complex Anatomic Structures

We address the problem of precise segmentation of 3D complex structure from high-contrast images. Particularly, we focus on the representation and application of prior knowledge in the 3D level set framework. ...

Hong Shen, Yonggang Shi, Zhigang Peng in Computer Vision for Biomedical Image Applications (2005)

Chapter and Conference Paper

Application of Neural Network to Interactive Physical Programming

A neural network based interactive physical programming approach is proposed in this paper. The approximate model of Pareto surface at a given Pareto design is developed based on neural networks, and a map fro...

Hongzhong Huang, Zhigang Tian in Advances in Neural Networks – ISNN 2005 (2005)

Article

Efficient Fourier-Based Approach for Detecting Orientations and Occlusions in Epipolar Plane Images for 3D Scene Modeling

This paper presents a Fourier-based approach for automatically constructing a 3D panoramic model of a natural scene from a video sequence. The video sequences could be captured by an unstabilized camera mounte...

Zhigang Zhu, Guangyou Xu, Xueyin Lin in International Journal of Computer Vision (2005)

Chapter and Conference Paper

Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates

In this paper, discrete-time cellular neural networks with one-dimensional space invariant are designed to associative memories. The obtained results enable both heteroassociative and autoassociative memories ...

Zhigang Zeng, Jun Wang in Advances in Neural Networks - ISNN 2006 (2006)

Chapter and Conference Paper

Fault Data Compression of Power System with Wavelet Neural Network Based on Wavelet Entropy

Through the analysis of function approximation with wavelet transformation, an adaptive wavelet neural network is introduced in the paper, which is applied in data compression of fault data in power system. In...

Zhigang Liu, Dabo Zhang in Advances in Neural Networks - ISNN 2006 (2006)

Chapter and Conference Paper

Robust Control for a Class of Uncertain Neural Networks with Time-Delays on States and Inputs

A class of uncertain neural networks with time-delays on states and inputs is studied. The theoretical analysis herein guarantees that the neural networks are robust stable. In addition, a state feedback contr...

Qiuxiang Deng, Zhigang Zeng in Intelligent Computing (2006)

Chapter and Conference Paper

3D Method of Using Spatial-Varying Gaussian Mixture and Local Information to Segment MR Brain Volumes

The paper is an extension of previous work on spatial-varying Gaussian mixture and Markov random field (SVGM-MRF) from 2D to 3D to segment the MR brain volume with the presence of noise and inhomogeneity. The ...

Zhigang Peng, **ang Cai, William Wee, **g-Huei Lee in Image Analysis and Recognition (2006)

Chapter and Conference Paper

Applying Bayesian Approach to Decision Tree

Applying Bayesian approach to decision tree (DT) model, and then a Bayesian-inference-based decision tree (BDT) model is proposed. For BDT we assign prior to the model parameters. Together with observed sample...

Yatong Zhou, Taiyi Zhang, Zhigang Chen in Computational Intelligence (2006)

Chapter and Conference Paper

Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks

In this paper, global exponential stability in Lagrange sense is further studied for continuous recurrent neural network with three different activation functions. According to the parameters of the system its...

**aoxin Liao, Zhigang Zeng in Advances in Neural Networks - ISNN 2006 (2006)

Chapter and Conference Paper

Analysis of Global Convergence and Learning Parameters of the Back-Propagation Algorithm for Quadratic Functions

This paper analyzes global convergence and learning parameters of the back-propagation algorithm for quadratic functions. Some global convergence conditions of the steepest descent algorithm are obtained by di...

Zhigang Zeng in Advanced Intelligent Computing Theories an… (2007)

Chapter and Conference Paper

Implementation of Multi-valued Logic Based on Bi-threshold Neural Networks

The implementation of multi-valued logic with a three layers forward neural network is proposed. The hidden layer is constituted by bi-threshold neurons compared with traditional simple threshold neurons. Acco...

Qiuxiang Deng, Zhigang Zeng in Advances in Neural Networks – ISNN 2007 (2007)

Chapter and Conference Paper

Quantum Error-Correction Codes Based on Multilevel Constructions of Hadamard Matrices

To achieve quantum error-correction codes with good parameters, the recursive constructions of Hadamard matrices with even length are proposed with special characters. The generators of the stabilizer of the d...

Dazu Huang, Zhigang Chen, Ying Guo in Advanced Intelligent Computing Theories an… (2007)

Chapter and Conference Paper

A Sliding Singular Spectrum Entropy Method and Its Application to Gear Fault Diagnosis

Entropy changes with the variation of the system status. It has been widely used as a standard for the determination of system status, quantity of system complexity and system classification. Based on the sing...

Yong Lu, Yourong Li, Han **ao, Zhigang Wang in Advanced Intelligent Computing Theories an… (2008)

Article

Modeling and Representations of Large-Scale 3D Scenes

Zhigang Zhu, Takeo Kanade in International Journal of Computer Vision (2008)

Chapter and Conference Paper

Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics

In this paper, the switching dynamics of recurrent neural networks are studied. Sufficient conditions on global exponential stability with an arbitrary switching law or a dwell time switching law and the estim...

Zhigang Zeng, Jun Wang, Tingwen Huang in Artificial Neural Networks – ICANN 2009 (2009)