38 Result(s)
within
Computer Science
Artificial Intelligence
**-Fan Wang
Chapter
Conference Paper
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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...
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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
The Effect of Traffic on Situation Awareness and Mental Workload: Simulator-Based Study
In the present study, we investigated the effects of the different traffic on the driver’s situation awareness and the mental workload (MWL). The task used in this study was a medium fidelity, 3-dimensional si...
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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
A Survey on Reviewer Assignment Problem
Research into Reviewer Assignment Problem (RAP) is still in its early stage but there is great world-wide interest, as the foregoing process of peer-review which is the brickwork of science authentication. The...
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Chapter and Conference Paper
Group Argumentation Info-visualization Model in the Hall for Workshop of Meta-synthetic Engineering
In order to improve effectiveness and efficiency of the compute-mediated group argumentation, which is one of the main working in HWME, it’s necessary to explore some new technologies of info-visualization. Th...
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Chapter and Conference Paper
Using Hybrid Kernel Method for Question Classification in CQA
A new question classification approach is presented for questions in CQA (Community Question and answering Systems). In CQA, most of the questions are non-factoid questions and can hardly be classified accordi...
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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
Research on Classification Methods of Glycoside Hydrolases Mechanism
Data mining methods are helpful in analyzing large amount of sequence and structure information of proteins. Classifiers can do a good job in achieving accurate mechanism classification of glycoside hydrolases...
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Chapter and Conference Paper
Effect of Body Image Presentation Format to Female Physical Attractiveness
In the past studies, female body images in different formats (line drawings, 2D photographs and 3D wire-framed movie clips) have been used as visual stimuli. How the presentation of the body images influence t...
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Chapter and Conference Paper
Generation of Environmental Representation of a Large Indoor Parking Lot
A technique for generating environmental representations of indoor parking lots is presented. The environmental representation of a parking lot is of use for the surveillance and management of the parking lot....
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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
Affine Subspace Representation for Feature Description
This paper proposes a novel Affine Subspace Representation (ASR) descriptor to deal with affine distortions induced by viewpoint changes. Unlike the traditional local descriptors such as SIFT, ASR inherently e...
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Chapter and Conference Paper
Design and Development of a 3-Lead ECG System Based on the ISO/IEEE 11073-10406 Standards
Improving the quality of life with the least expense has been conducted by incorporating advanced technology, especially for Personal Health Devices (PHDs), into the medical service market. To guarantee the co...
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Chapter and Conference Paper
The Interaction of Semantic and Orthographic Processing During Chinese Sinograms Recognition: An ERP Study
The present study investigated the interaction of semantic and orthographic processing during compound sinogram recognition, using event related potentials (ERPs) and a picture-word matching task. The behavior...
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Chapter and Conference Paper
Task-Free Brainprint Recognition Based on Degree of Brain Networks
Personal identification plays an important role in the information society. However, the traditional methods of identification cannot fully guarantee security. As a new type of biometrics, brainprint has remar...
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Chapter and Conference Paper
Multiple Thermal Face Detection in Unconstrained Environments Using Fully Convolutional Networks
Multiple thermal face detection in unconstrained environments has received increasing attention due to its potential in liveness detection and night-time surveillance. This paper presents an effective method b...
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Chapter and Conference Paper
Multilevel Features Fusion in Deep Convolutional Neural Networks
The convolution neural networks (CNNs) can extract the rich feature of the image. It was widely used in the field of computer vision (CV) and made great breakthroughs. However, most of the existing CNNs models...
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Chapter and Conference Paper
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
We propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment. To achieve this, we design a 2D representation called UV position map which records th...
