9 Result(s)
within
Algorithm Analysis and Problem Complexity
**-Fan Wang
Chapter
Conference Paper
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Chapter and Conference Paper
Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem
Assembly line balancing problem are widespread in manufacturing industries such as electronics or auto parts. As an efficient metaheuristic, cross-entropy (CE) method can be applied to solve mixed model U-shap...
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Chapter and Conference Paper
Parameterized and Approximation Algorithms for Finding Two Disjoint Matchings
We first present a fixed-parameter algorithm for the NP-hard problem of deciding if there are two matchings M1 and M2 in a given graph G such that |M1| + |M2| is no less than a given number k. The algorithm runs ...
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Chapter and Conference Paper
Basic Level Advantage during Information Retrieval: An ERP Study
Categorization concept could be divided into three levels according to the degree of generalization: superordinate, basic and the subordinate levels. To investigate the neural mechanism of concept information ...
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Chapter and Conference Paper
Channel Estimation for OFDM Systems with Total Least-Squares Solution
Orthogonal frequency-division multiplexing (OFDM) combines the advantages of high performance and relatively low implementation complexity. However, for reliable coherent detection of the input signal, the OFD...
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Chapter and Conference Paper
An Axiomatic Approach to Exploit Term Dependencies in Language Model
One of important problems of dependence retrieval model is the challenge to integrate both single words and dependencies in one weighting schema. Although there are many retrieval models that exploit term depe...
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Chapter and Conference Paper
Object Detection Combining Recognition and Segmentation
We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation step and a verification step. In the top...
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Chapter and Conference Paper
HMM-Based Emotional Speech Synthesis Using Average Emotion Model
This paper presents a technique for synthesizing emotional speech based on an emotion-independent model which is called “average emotion” model. The average emotion model is trained using a multi-emotion speec...
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Chapter and Conference Paper
Efficient 3D Face Reconstruction from a Single 2D Image by Combining Statistical and Geometrical Information
In this paper, we present an efficient algorithm for reconstructing 3D head model from a single 2D image based on using a 3D eigenhead model. This system is composed of two components, offline training of the ...
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Chapter and Conference Paper
Feature Selection for Fast Image Classification with Support Vector Machines
According to statistical learning theory, we propose a feature selection method using support vector machines (SVMs). By exploiting the power of SVMs, we integrate the two tasks, feature selection and classifi...
