355 Result(s)
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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...
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Article
Neural networks for omni-view road image understanding
This paper presents a new approach to the outdoor road scene understanding by using omni-view images and backpropagation networks. Both the road directions used for vehicle heading and the road categories used...
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Article
Range information propagation transform
A novel method of model-based object recognition is presented in this paper. Its novelty stems from the fact that the gray level image captured by a camera is merged with sparse range information in an active ...
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Article
The impact of self-similar traffic on network delay
The effect of self-similar traffic on the delay of a single queue system is studied through the use of the measured traffic and models as input process. A model-driven simulation-based method is then proposed ...
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Article
Implementation of Java card Virtual Machine
Java card is a new system for programming smart cards, which is based on the Java language and Virtual Machine. Java card programs (applets) run in Java Card Runtime Environment (JCRE) including the Java Card ...
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Chapter and Conference Paper
Software Mode Changes for Continuous Motion Tracking
Robot control in nonlinear and nonstationary run-time environments presents challenges to traditional software methodologies. In particular, robot systems in “open” domains can only be modeled probabilisticall...
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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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Article
The impact of non-Gaussian distribution traffic on network performance
Recent extensive measurements of real-life traffic demonstrate that the probability density function of the traffic is non-Gaussian. If a traffic model does not capture this characteristics, any analytical or ...
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Chapter and Conference Paper
Considering Correlation between Variables to Improve Spatiotemporal Forecasting
The importance of forecasting cannot be overemphasized in modern environment surveillance applications, including flood control, rainfall analysis, pollution study, nuclear leakage prevention and so on. That i...
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Chapter and Conference Paper
STIFF: A Forecasting Framework for SpatioTemporal Data
Nowadays spatiotemporal forecasting has been drawing more and more attention from academic researchers and industrial practitioners for its promising applicability to complex data containing both spatial and t...
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Article
A novel RTL behavioral description based ATPG method
The paper proposes a novel ATPG (Automatic Test Pattern Generation) method based on RTL (Register Transfer Level) behavioral descriptions in HDL (Hardware Description Language). The method is simulation-based....
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Chapter and Conference Paper
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks
In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These conditions can be directly derived from the ...
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Chapter and Conference Paper
Global Convergence of Steepest Descent for Quadratic Functions
This paper analyzes the effect of momentum on steepest descent training for quadratic performance functions. Some global convergence conditions of the steepest descent algorithm are obtained by directly analyz...
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Chapter and Conference Paper
Stability Analysis of Discrete-Time Cellular Neural Networks
Discrete-time cellular neural networks (DTCNNs) are formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTCNNs with delays based on comparison met...
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Chapter and Conference Paper
Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm
During the pattern recognition using BP neural network, the generalization performance often becomes poor. To improve the generalization performance of BP Network, a novel BP network generalization learning al...
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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
XML Multimedia Retrieval
Multimedia XML documents can be viewed as a tree, whose nodes correspond to XML elements, and where multimedia objects are referenced in attributes as external entities. This paper investigates the use of text...
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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
An Efficient and Divisible Payment Scheme for M-Commerce
Almost all of the mobile devices have some fixed characters which can be distinguished easily, and also they are so portable that can be taken with yourself, so the mobile device which is used in electronic bu...