167 Result(s)
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Chapter and Conference Paper
Boosting trees for cost-sensitive classifications
This paper explores two boosting techniques for cost-sensitive tree classifications in the situation where misclassification costs change very often. Ideally, one would like to have only one induction, and use...
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Chapter and Conference Paper
IDSIS: Intelligent Document Semantic Indexing System
With rapid growth of the Internet, how to get information from this huge information space becomes an even important problem. In this paper, An Intelligence Document Semantic Indexing System: IDSIS is proposed...
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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
Stable Neighbor Based Adaptive Replica Allocation in Mobile Ad Hoc Networks
In mobile ad hoc networks (MANET), nodes move freely and the replica allocation in such a dynamic environment is a significant challenge. In this paper, a dynamic adaptive replica allocation algorithm that can...
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Chapter and Conference Paper
A Software Architecture and Supporting Kernel for Largely Synchronously Operating Sensor Networks
The largely synchronous sensor network software architecture (LaSSeNSA) was formulated with the goal of enabling efficient construction of sensor networks that are easily analyzable and can rarely run into a chao...
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Chapter and Conference Paper
DisCAS: A Distributed-Parallel Computer Algebra System
The DisCAS system employs and interacts with multiple ELIMINOs distributed over the Internet to achieve a distributed-parallel computing environment. ELIMINO is a computer algebra system developed to support W...
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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
An Improved Vehicle Classification Method Based on Gabor Features
Vehicle classification is an important issue in the domain of ITS (Intelligent Transportation Systems). In this paper we presents an improved one based on Gabor features, which contains three consecutive stage...
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Chapter and Conference Paper
Fast Stereo Matching Method Using Edge Traction
Combining the reliable edge feature points and area similarity, the fast stereo matching algorithm using edge traction was presented. First, find valid disparity set of feature points and traverse combinations...
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Chapter and Conference Paper
An Auto-stopped Hierarchical Clustering Algorithm for Analyzing 3D Model Database
In the research of shape-based 3D model retrieval, the analysis and classification of 3D model database is an important topic for improving the retrieval performance. However, it encounters difficulties due to...
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Chapter and Conference Paper
A Security Acceleration Using XML Signcryption Scheme in Mobile Grid Web Services
Today’s grid architecture encompasses a far greater breadth of applications than the traditional grid, which focused on distributed applications processing large amounts of data. Newer grid applications are mo...
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Chapter and Conference Paper
Context Driven Chinese String Segmentation and Recognition
This paper presents a context driven segmentation and recognition method for handwritten Chinese characters. We follow a split-merge technique in character segmentation. In this process, a Chinese text line is...
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Chapter and Conference Paper
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules such as the mean curvature prop...
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Chapter and Conference Paper
Example Based Non-rigid Shape Detection
Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a database. In the previous appr...
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Chapter and Conference Paper
Chinese Visible Human Data Sets and Their Applications
The research on digital visible human is of great significance and application value. The US VHP created the first digital image data set of complete human (male and female) in 1995. To promote worldwide appli...
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Chapter and Conference Paper
Extracting Realistic Textures from Reference Spheres
This paper proposes a method for extracting realistic textures from real-world reference spheres. The BRDF parameters of fundamental materials, as well as a material weight map for the sphere are obtained thro...
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Chapter and Conference Paper
Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images
Accuracy of automatic cancer diagnosis is largely determined by two factors, namely, the precision of tumor segmentation, and the suitability of extracted features for discrimination between malignancy and ben...
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Chapter and Conference Paper
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators
Averaged One-Dependence Estimators (AODE) classifies by uniformly aggregating all qualified one-dependence estimators (ODEs). Its capacity to significantly improve naive Bayes’ accuracy without undue time comp...
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Chapter and Conference Paper
Precise Estimation of Postoperative Cup Alignment from Single Standard X-Ray Radiograph with Gonadal Shielding
This paper addresses the problem of estimating postoperative cup alignment from single standard X-ray radiograph with gonadal shielding. The widely used procedure of evaluation of cup orientation following tot...
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Chapter and Conference Paper
Learning Bidirectional Similarity for Collaborative Filtering
Memory-based collaborative filtering aims at predicting the utility of a certain item for a particular user based on the previous ratings from similar users and similar items. Previous studies in finding simil...
