738 Result(s)
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Article
Experiments on estimating egomotion and structure parameters using long monocular image sequences
This paper presents a simple but robust model based approach to estimating the kinematics of a moving camera and the structure of the objects in a stationary environment using long, noisy, monocular image sequ...
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Article
Feature extraction and image segmentation using self-organizing networks
Feature extraction and image segmentation (FEIS) are two primary goals of almost all image-understanding systems. They are also the issues at which we look in this paper. We think of FEIS as a multilevel proce...
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Chapter and Conference Paper
Generating 3D models of objects using multiple visual cues in image sequences
This work aims at building a 3D graphics model of an object using multiple visual cues. Different materials and shapes may yield different visual cues such as corner, pattern, highlight, and contour on objects...
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Chapter and Conference Paper
Combinatorial coarse classification method for OLCCR
This paper presents a new coarse classification method based on combination of two independent approaches for on-line Chinese character recognition (OLCCR). Through introducing a feedback control provided by t...
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Chapter and Conference Paper
Stereo Matching Using Belief Propagation
In this paper, we formulate the stereo matching problem as a Markov network consisting of three coupled Markov random fields (MRF’s). These three MRF’s model a smooth field for depth/disparity, a line process ...
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Chapter and Conference Paper
A Database-Based Job Management System
By combining database and job management technology, this paper designs a database-based job management system (JMS), called DB-Based JMS. The system architecture is described. The functions and relationships ...
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Chapter and Conference Paper
A CT-Free Intraoperative Planning and Navigation System for High Tibial Dome Osteotomy
High tibial dome osteotomy is a well accepted but technically demanding surgical procedure. Common complications include postoperative malalignment of either under- or over-correction, pin penetration of the t...
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Chapter and Conference Paper
A New Encoding Scheme to Improve the Performance of Protein Structural Class Prediction
Based on the concept of coarse-grained description, a new encoding scheme with grouped weight for protein sequence is presented in this paper. By integrating the new scheme with the component-coupled algorithm...
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Chapter and Conference Paper
A Two-Phase Clustering Algorithm Based on Artificial Immune Network
This paper proposes a novel dynamic clustering algorithm called DCBAIN, which based on the artificial immune network and immune optimization algorithm. The algorithm includes two phases, it begins by running a...
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Chapter and Conference Paper
Improve Capability of DNA Automaton: DNA Automaton with Three Internal States and Tape Head Move in Two Directions
DNA automaton is a simple molecular-scale automaton, in which the converting of information deploys in molecule-scale by DNA and DNA-manipulating enzymes autonomously. Finite automaton with two internal states...
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Chapter and Conference Paper
FPBN: A New Formalism for Evaluating Hybrid Bayesian Networks Using Fuzzy Sets and Partial Least-Squares
This paper proposes a general formalism for evaluating hybrid Bayesian networks. The formalism approximates a hybrid Bayesian network into the form, called fuzzy partial least-squares Bayesian network (FPBN). ...
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Chapter and Conference Paper
A Mobile Agent-Based P2P Autonomous Security Hole Discovery System
A general or agent-based security system is usually constructed hierarchically and has a central manager acting as head of the whole system. However, the manager becomes a bottleneck for being connected by eac...
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Chapter and Conference Paper
An Improved Adaptive RBF Network for Classification of Left and Right Hand Motor Imagery Tasks
An improved adaptive RBF neural network is proposed to realize the continuous classification of left and right hand motor imagery tasks. Leader-follower clustering is used to initialize the centers and varianc...
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Chapter and Conference Paper
Fault Tolerant Supervisory for Discrete Event Systems Based on Event Observer
The fault tolerant supervisory problem for discrete event systems is addressed in this paper. The proposed approach is based on the state avoidance control theory and observer-based control for Petri net. The ...
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Chapter and Conference Paper
Selective Two-Channel Linear Descriptors for Studying Dynamic Interaction of Brain Regions
This paper demonstrates an effective approach to studying functional coupling of different brain regions in event-related paradigm. The selective two-channel complexity (TCC) and field power (TCFP) were investiga...
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Chapter and Conference Paper
A Fast Algorithm for Approximate String Matching on Gene Sequences
Approximate string matching is a fundamental and challenging problem in computer science, for which a fast algorithm is highly demanded in many applications including text processing and DNA sequence analysis....
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Chapter and Conference Paper
Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Reconstructed Embedding Phase Space
A new strategy of modelling of chaotic systems is presented. First, more information is acquired utilizing the reconstructed embedding phase space. Then, based on the Recurrent Least Squares Support Vector Mac...
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Chapter and Conference Paper
A Compound Statistical Model Based Radar HRRP Target Recognition
In radar HRRP based statistical target recognition, one of the most challenging tasks is how to accurately describe HRRP’s statistical characteristics. Based on the scattering center model, range resolution ce...
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Chapter and Conference Paper
Hard Margin SVM for Biomedical Image Segmentation
Biomedical image is often complex. Using SVM for pixel-based segmentation may achieve good results, but training by conventional way always leads to high time cost. In this paper, a novel and real-time trainin...
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Chapter and Conference Paper
Analysis of Complete Convergence for Genetic Algorithm with Immune Memory
A new Immune Memory Genetic Algorithm (IMGA) based on the mechanism of immune memory and immune network is proposed in this article . Using Markov chains theory, we proven that NGA(Niche Genetic Algorithms) ca...
