Chinese︱Feedback︱Save this page

Login︱Register

• Elaborating Academic Views 　　　　 • Exchanging Innovative Ideas
• Protecting Intellectual Properties 　　• Fast Sharing Science Papers

Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China

Home > Papers > Pattern-Recognition

There are 98 papers published in subject: > since this site started.

Results per page:

98 Total, 10 Pages | << First < Previous 7 8 9 10

Select Subject

All (8830)

Agronomy (158)

Animal Husbandry,... (64)

Aquatic Science (16)

Astronomy (36)

Aviation (22)

Basic Medicine (184)

Biology (504)

Chemical Engineering (103)

Chemistry (635)

Civil and Archite... (105)

Clinical Medicine (236)

Computer Science ... (924)

Dynamic and Elect... (121)

Earth Science (119)

Economics (67)

Education (31)

Electrics, Commun... (927)

Energy Science an... (67)

Engineering and T... (15)

Environmental Sci... (140)

Food Science and ... (63)

Forestry (36)

Hydraulic Enginee... (40)

Mechanics (240)

Metallurgical Eng... (32)

Mine Engineering ... (38)

Nuclear Science a... (21)

Pharmacy (98)

Physics (920)

Preventive Medici... (37)

Psychology (20)

Security Science ... (17)

Sports Science (6)

Surveying and Map... (15)

Textile Science a... (16)

Traditional Chine... (56)

Transportation En... (57)

Rank

Results per page:

98 Total, 10 Pages | << First < Previous 7 8 9 10

Alert Name:
Alerting to:
Authentication email will be sent to your email address in 24 hours
Frequency:
Email Message Format:	Plain text Graphical(HTML)

Complete the form below and we will recommend the selected titles to your friends on your behalf. * Indicates a required field.
Your name*:
Your email address*:
Recipient's name*:
Recipient's email address*:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find the page(s) useful.

Your name:
Your email address:
Recipient's name:
Recipient's email address:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find this page useful.

Disclaimer: This message was sent to your friend using the "Send it to a friend" facility on the Sciencepaper Online’ WWW site, http://www.paper.edu.cn/en. The Sciencepaper Online is not responsible for the content of this email, and anything said in this email does not necessarily reflect the Sciencepaper Online's views.


	1. A Powerful Relevance Feedback Mechanism for Content-based 3D Model Retrieval
	Biao Leng,Zheng Qin
	Computer Science and Technology 17 April 2008
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:The technique of relevance feedback has been introduced to content-based 3D model retrieval; however, two essential issues which affect the retrieval performance have not been addressed. In this paper, a novel relevance feedback mechanism is presented, which effectively makes use of strengths of different feature vectors and perfectly solves the problem of small sample and asymmetry. During the retrieval process, the proposed method takes the user\\\\\\\
	TO cite this article:Biao Leng,Zheng Qin. A Powerful Relevance Feedback Mechanism for Content-based 3D Model Retrieval[OL].[17 April 2008] http://en.paper.edu.cn/en_releasepaper/content/20625


	2. Out-of-sample algorithm of Laplacian Eigenmaps Applied to Dimensionality Reduction
	Peng Jia,Junsong Yin,Xinsheng Huang,Dewen Hu
	Computer Science and Technology 09 April 2008
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:The traditional nonlinear manifold learning methods have achieved great success in dimensionality reduction. However, when new samples are observed, the batch methods fail to learn them incrementally. This paper presents out-of-sample extension for Laplacian Eigenmaps, which computes the low-dimensional representation of data set by optimally preserving local neighborhood information in a certain sense. Two different incremental algorithms, the differential method and sub-manifold analysis method, are proposed. The algorithms are easy to be implemented and the computation procedure is simple. Simulation results testify the efficiency and accuracy of the proposed algorithm.
	TO cite this article:Peng Jia,Junsong Yin,Xinsheng Huang, et al. Out-of-sample algorithm of Laplacian Eigenmaps Applied to Dimensionality Reduction[OL].[ 9 April 2008] http://en.paper.edu.cn/en_releasepaper/content/20257

Saved Papers

Saved Papers


	3. Evaluation of Relevance Feedback Methods for 3D Shape Retrieval
	Leng Biao,Zheng Qin
	Computer Science and Technology 07 April 2008
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:Relevance feedback as a powerful search engine technique bridges the gap between high-level semantic knowledge and low-level object representation. In this paper, we experimentally evaluate 5 state-of-the-art relevance feedback methods: Elad2001, Space Warping, Linear Discriminant Analysis (LDA), Biased Discriminant Analysis (BDA) and Support Vector Machine (SVM). In order to guarantee the experiments reproductive, they are assessed based on the best 3D shape descriptor DESIRE and the publicly available 3D model database Princeton Shape Benchmark (PSB). The experiments show that the retrieval performance of 3D shape search engine may be significantly improved with the application of relevance feedback. In contract to the ambiguous results comparing SVM and BDA from previous paper, SVM was found to outperform BDA with distinct advantage, and they were followed by Elad2001, LDA and Space Warping.
	TO cite this article:Leng Biao,Zheng Qin. Evaluation of Relevance Feedback Methods for 3D Shape Retrieval[OL].[ 7 April 2008] http://en.paper.edu.cn/en_releasepaper/content/20152


	4. An Improved Aggregated One-Dependence Estimator:On Not So Rigid Cross Validation
	Zheng Qinghua
	Computer Science and Technology 06 January 2008
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:1The naive Bayesian classifier is a simple and effective approach to classifier learning. However, its conditionally independent assumption doesn’t often hold in the real world and this will lead to accuracy decrease in some applications. LBR, TAN and AODE are several representative algorithms that seek to relax this assumption and have exhibited noticeable prediction performance. However, the computational cost of LBR and TAN is considerable. AODE is creditably an effective classification learning algorithm without increasing computational cost improperly. However, to intently debase computational complexity, AODE avoids model selection and adopts all SPODEs , this may result in insufficiency to improve the prediction accuracy because of the included SPODEs which bring negative effect. Therefore, we propose an improved algorithm in this paper which will improve classification accuracy and classification speed by filtering out those SPODEs which bring negative effect base on original algorithms.
	TO cite this article:Zheng Qinghua . An Improved Aggregated One-Dependence Estimator:On Not So Rigid Cross Validation[OL].[ 6 January 2008] http://en.paper.edu.cn/en_releasepaper/content/17765


	5. Research on E-learner Personality Grouping Based on Fuzzy Clustering Analysis
	Tian Feng ,Wang Shibin ,Cheng Zheng,Zheng Qinghua
	Computer Science and Technology 04 January 2008
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:Many clustering methods have been adopted by personalized e-learning system to find interested groups or common characteristics of members within the same group. However, hard boundary during discretization of collected data or subjective influences was introduced, and corresponding methods were utilized. Aiming at this problem, a fuzzy clustering method based on fuzzy statistic is proposed to cluster the learners according to their personality and learning strategy data collected from an online system. Then, an analysis method based on frequent pattern is introduced to testify the result of the proposed unsupervised clustering methods. The clustering results correspond with viewpoints of pedagogy.
	TO cite this article:Tian Feng ,Wang Shibin ,Cheng Zheng, et al. Research on E-learner Personality Grouping Based on Fuzzy Clustering Analysis[OL].[ 4 January 2008] http://en.paper.edu.cn/en_releasepaper/content/17727


	6. Research on Short Text Orientation Identification Based on Comprehensive Information Theory
	Chuanfu Zhang
	Computer Science and Technology 06 September 2007
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:Based on the theory of Comprehensive Information Methodology - Natural Language Understanding (short for CIM-NLU), a short text orientation identification system for multi-domains was realized via Multi-agents. Modules able to learn the orientation of short text were implemented respectively for assigned domains, using the comprehensive information knowledge-bases made up of syntactic, semantic and pragmatic information. The result of the experimental system proves the feasibility, effectiveness and great potential of this method.
	TO cite this article:Chuanfu Zhang. Research on Short Text Orientation Identification Based on Comprehensive Information Theory [OL].[ 6 September 2007] http://en.paper.edu.cn/en_releasepaper/content/14889


	7. Emotion Recognition from Surface EMG Signal Using Wavelet Transform and Neural Network
	Cheng Bo,LIU Guang-Yuan
	Computer Science and Technology 14 June 2007
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:Emotion recognition is a pivotal question of affective computing. This paper adopts the wavelet transform to analyse the surface EMG signal instability feature. Surface EMG signal is decomposed by discrete wavelet transform (DWT) and selected maximum and minimum of the wavelet coefficients in every level. The extracted maximum and minimum of the wavelet coefficients is inputted to identify emotion by the BP neural network improved by Levenberg-Marquardt algorithm. Experimental result shows that identification purpose of four emotional signals (joy, anger, sadness and pleasure) is effective and have are a great potential in practical application of emotion recognition.
	TO cite this article:Cheng Bo,LIU Guang-Yuan. Emotion Recognition from Surface EMG Signal Using Wavelet Transform and Neural Network[OL].[14 June 2007] http://en.paper.edu.cn/en_releasepaper/content/13473


	8. Research on the Segmentation of MRI Image Based on Multi-Classification Support Vector Machine
	Guo Lei ,Wu Youxi ,Liu Xuena ,Yan Weili
	Computer Science and Technology 23 May 2007
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:In head MRI image, the boundary of each encephalic tissue is highly complicated and irregular. It is a real challenge to traditional segmentation algorithms. As a new kind of machine learning, Support Vector Machine (SVM) based on Statistical Learning Theory (SLT) has high generalization ability, especially for dataset with small number of samples in high dimensional space. SVM was originally developed for two-class classification. It is extended to solve multi-class classification problem. In this paper, 57 dimensional feature vectors for MRI image are selected as input for SVM. The segmentation of MRI image based on the Multi-Classification SVM (MCSVM) is investigated. As our experiment demonstrates, the boundaries of 7 kinds of encephalic tissues are extracted successfully, and it can reach satisfactory generalization accuracy. Thus, SVM exhibits its great potential in image segmentation.
	TO cite this article:Guo Lei ,Wu Youxi ,Liu Xuena , et al. Research on the Segmentation of MRI Image Based on Multi-Classification Support Vector Machine[OL].[23 May 2007] http://en.paper.edu.cn/en_releasepaper/content/13001

	Check out RSS, or use RSS reader to subscribe this item