144 Result(s)

Article

Center-cut for color-image quantization

Three simple and effective modifications made to the median-cut algorithm lead to a new and useful tool for color-image quantization. The first is to select the color box with the longest longest-dimension ins...

Gregory Joy, Zhigang **ang in The Visual Computer (1993)

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

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

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)

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

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

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

Combining Multi Wavelet and Multi NN for Power Systems Load Forecasting

In the paper, two pre-processing methods for load forecast sampling data including multiwavelet transformation and chaotic time series are introduced. In addition, multi neural network for load forecast includ...

Zhigang Liu, Qi Wang, Yajun Zhang in Advances in Neural Networks - ISNN 2008 (2008)

Chapter and Conference Paper

Robust Stability of Switched Recurrent Neural Networks with Discrete and Distributed Delays under Uncertainty

With the rapid development of intelligent control, switched systems have attracted great attention. In this letter, we try to introduce the idea of the switched systems into the field of recurrent neural netwo...

Shi** Wen, Zhigang Zeng, Lingfa Zeng in Advances in Neural Networks - ISNN 2008 (2008)

Chapter and Conference Paper

Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities

The general projection neural network (GPNN) is a versatile recurrent neural network model capable of solving a variety of optimization problems and variational inequalities. In a recent article [IEEE Trans. N...

**aolin Hu, Zhigang Zeng, Bo Zhang in Advances in Neural Networks - ISNN 2008 (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

Stabilization of Switched Dynamic Neural Networks with Discrete Delays

With the rapid development of intelligent control, switched systems have attracted great attention. This paper introduces the idea of the switched systems into the field of dynamic neural networks. First, a ma...

Shi** Wen, Zhigang Zeng in Computational Intelligence and Intelligent Systems (2009)

Chapter and Conference Paper

Computation of Uncertain Parameters by Using Fuzzy Synthetic Decision and D-S Theory

In the course of design, decision making and other problems alike being settled, parameter, whose value is limited to a Real-interval, can often be found. Such parameters are named Uncertain Parameters in this...

Lingling Li, Jungang Zhou, Zhigang Li… in Computational Intelligence and Intelligent… (2009)

Chapter and Conference Paper

The Method of Knowledge Processing in Intelligent Design System of Products

In all intelligent systems, knowledge is the cornerstone of the construction of system. This paper discusses a number of ways of the knowledge expression, such as rule, processing, semantic network, nonspecifi...

Lingling Li, **gzheng Liu, Zhigang Li… in Advances in Computation and Intelligence (2009)

Article

Editorial to special issue: computational intelligence for optimization, modeling and control

Zeng-Guang Hou, Zhigang Zeng, Changyin Sun in Neural Computing and Applications (2009)

Chapter and Conference Paper

A New Short-Term Load Forecasting Model of Power System Based on HHT and ANN

Aiming to the disadvantages of short-term load forecasting with HHT such as mode mixing and random component, a new short-term load forecasting model based on HHT and ANN is proposed. The first order differenc...

Zhigang Liu, Weili Bai, Gang Chen in Advances in Neural Networks - ISNN 2010 (2010)

Article

Image-based face illumination transferring using logarithmic total variation models

In this paper, we present a novel image-based technique that transfers illumination from a source face image to a target face image based on the Logarithmic Total Variation (LTV) model. Our method does not req...

Qing Li, Wotao Yin, Zhigang Deng in The Visual Computer (2010)