118 Result(s)
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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...
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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...
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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...
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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...
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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. ...
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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...
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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...
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Article
An efficient method for geo-referenced video mosaicing for environmental monitoring
Environmental monitoring applications require seamless registration of optical data into large area mosaics that are geographically referenced to the world frame. Using frame-by-frame image registration alone,...
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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 ...
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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...
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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...
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Chapter and Conference Paper
Object Tracking Using Genetic Evolution Based Kernel Particle Filter
A new particle filter, which combines genetic evolution and kernel density estimation, is proposed for moving object tracking. Particle filter (PF) solves non-linear and non-Gaussian state estimation problems ...
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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 ...
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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...
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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...
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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...
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Chapter and Conference Paper
Semantic 3D CAD and Its Applications in Construction Industry – An Outlook of Construction Data Visualization
In response to the need of using electronic design data directly in construction management applications, many CAD developers have started implementing semantic data models in their CAD products using industry...
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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...
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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...
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Chapter and Conference Paper
Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images
With the advance of whole-body medical imaging technologies, computer aided detection/diagnosis (CAD) is being scaled up to deal with multiple organs or anatomical structures simultaneously. Multiple tasks (or...