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473 Result(s)
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Chapter and Conference Paper
Active Network Approach for Web Caching
Web caching is an effective way to save network bandwidth and promote network performance. In traditional network, strong consistency and collaboration mechanism establishment are two major problems. AWC (Acti...
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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
Partially Supervised Classification – Based on Weighted Unlabeled Samples Support Vector Machine
This paper addresses a new classification technique: partially supervised classification (PSC), which is used to identify a specific land-cover class of interest from a remotely sensed image by using unique tr...
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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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Chapter and Conference Paper
An Algorithm for Best Selection in Semantic Composition of Web Service
The automation of Web services interoperation can bring advantages to effective B2B collaboration. However, the techniques for Web service composition may still require a lot of manual efforts. For example, ho...
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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
Global Stability of a General Class of Discrete-Time Recurrent Neural Networks
A general class of discrete-time recurrent neural networks (DTRNNs) is formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTRNNs with delays base...
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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
An Improved 6DOF Electromagnetic Tracking Algorithm with Anisotropic System Parameters
An improved 6DOF electromagnetic tracking algorithm is proposed. It utilizes the scattering parameters, which are about the transmitter coils, the receiver coils and the involved circuits, to determine the pos...
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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
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
A Semantic Matching of Information Segments for Tolerating Error Chinese Words
There exist new words and error words in Chinese information of web pages. In this paper, we introduce our definition of semantic similarity between sememes and their theorems. On the base of proving the theor...
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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
On Several Scheduling Problems with Rejection or Discretely Compressible Processing Times
In the traditional scheduling problems, it is always assumed that any job has to be processed and the processing time is pre-given and fixed. In this paper, we address the scheduling problems with rejection or...
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Chapter and Conference Paper
Enhancing Duplicate Collection Detection Through Replica Boundary Discovery
Web documents are widely replicated on the Internet. These replicated documents bring potential problems to Web based information systems. So replica detection on the Web is an indispensable task. The challeng...
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Chapter and Conference Paper
Perceiving Visual Emotions with Speech
Embodied Conversational Agents (ECAs) with realistic faces are becoming an intrinsic part of many graphics systems employed in HCI applications. A fundamental issue is how people visually perceive the affect o...
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Chapter and Conference Paper
Application and Research on Affection Model Based on Bayesian Network
It needs not only intelligence but also emotion for the computer to realize harmonious human computer interaction, which is one of the research focuses in the field of computer science. This paper proposes a h...
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Chapter and Conference Paper
Design and Path Planning for a Remote-Brained Service Robot
This article introduced an effective design method of robot called remote-brain, which is made the brain and body separated. It leaves the brain in the mother environment, by which we mean the environment in w...