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KGCL: A knowledge-grid-based cooperative learning environment 1

1st International Conference on Web-Based Learning, ICWL 2002

作者： Zhuge, Hai Li, Yanyan Bi, Jia Cheung, To-Yat Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China Department of Computer Science City University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)3540440410

Knowledge Grid is a platform that enables uniform and effective knowledge sharing and management across the Internet. Based on this platform, this paper proposes a cooperative learning environment KGCL. It supports the knowledge-level cooperation between human and computer, and enables the enrichment of not only the resources in the Knowledge Grid but also the knowledge of users by means of knowledge refinement, knowledge reuse and drawing together online participants. Currently, the prototype of the KGCL has been implemented and is available for use online. Experiments show that the environment can promote the effectiveness of teamwork. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Computer aided instruction

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The classification method based on hyper surface

The classification method based on hyper surface

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International Joint Conference on Neural Networks (IJCNN)

作者： Qing He Zhong-Zhi Shi Li-An Ren The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Graduate College of University of Science and Technology of China Beijing China

The main idea of SVM, i.e. Support Vector Machine, is mapping nonlinear separable data into higher dimension linear space where the data can be separated by hyper plane. Based on Jordan Curve Theorem, a general classification method HSC, Classification based on Hyper Surface, is put forward in this paper. The separating hyper surface is directly made to classify large database. The data are classified according to whether the intersecting number is odd or even. It is a novel approach which has no need of either mapping from lower dimension space to higher dimension space or considering kernel function. It can directly solve the nonlinear classification problem. The experiments show that the new method can efficiently and accurately classify large data.

关键词： Support vector machines Support vector machine classification Machine learning Machine learning algorithms Space technology Databases Artificial intelligence Neural networks Helium laboratories

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Discrete clothoid spline surfaces on open meshes

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International Journal of Image and Graphics 2001年第4期1卷 575-589页

作者： Li, Guiqing Li, Xianmin Li, Hua State Key Lab of CADandCG Zhejiang University Hangzhou310027 China Intelligent Information Processing Institute of Computing Technology Chinese Academic Sciences Beijing100080 China

By introducing a discrete Frenet frame, this paper first proposes 3D discrete clothoid splines to extend the planar discrete clothoid splines of Schneider and Kobbelt. On the basis of 3D discrete clothoid spline curves, discrete clothoid spline surfaces for arbitrary meshes are defined as a generalization of their closed discrete clothoid spline surfaces. Moreover, a discrete mean curvature normal operator instead of the conic surface fitting method is employed to compute curvature values. This induces a new iteration algorithm for generating the discrete clothoid spline surfaces. Since the curvature at a vertex is an area average over a region around this vertex and no linear system needs to be settled, the algorithm works more steadily and efficiently. Besides being directly used to produce fair mesh surfaces, the approach can also be employed to smooth control nets of spline surfaces. © 2001 World Scientific Publishing Company.

关键词： Linear systems

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2001 International Conferences on Info-tech and Info-net

作者： Hualin Wan Hong Hu Zhongzhi Shi Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science

Recent years there is an urgent need for effective content-based image retrieval(CBIR) systems, and we believe the key to effective CBIR performance lies in the ability to access the image at the level of *** by these considerations,we propose a region-based image retrieval system using max weighted bipartite matching,which can successfully solve the similarity measure of multi-region *** retrieval involves two stage:First,the images are segmented based on perceptual color homogeneity,for each color regions,color,texture,scale,location and shape characteristics are used to represent the content of ***,max weighted bipartite matching scheme is used to measure the similarity between *** results shows that a region-based approach can retrieve more relevant and more accurate images.

关键词： content-based retrieval image segmentation similarity measure bipartite matching

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引用

International Conferences on Info-tech and Info-net (ICII)

作者： Hualin Wan Hong Hu Zhongzhi Shi Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences China

There is an urgent need for effective content-based image retrieval (CBIR) systems, and we believe the key to effective CBIR performance lies in the ability to access the image at the level of objects. Motivated by these considerations, we propose a region-based image retrieval system using max weighted bipartite matching, which can successfully solve the similarity measure of a multi-region image. The retrieval involves two stages: first, the images are segmented based on perceptual color homogeneity, for each color region, color, texture, scale, location and shape characteristics are used to represent the content of regions. Second, the max weighted bipartite matching scheme is used to measure the similarity between images. Experimental results show that a region-based approach can retrieve more relevant and more accurate images.

关键词： Weight measurement Image segmentation Image retrieval Content based retrieval Multimedia databases Clustering algorithms Color Shape measurement information processing Computers

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Multi-user shared virtual reality in the exhibition of Chinese nationalities-Virtual Museum of Chinese Nationalities

Multi-user shared virtual reality in the exhibition of Chine...

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International Conference on Computer Supported Cooperative Work in Design

作者： Jun Zhang Fengsen Li Hua Li Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)0660184931

Virtual Museum of Chinese Nationalities is a multi-user shared virtual reality system developed to popularize the cultures and folk-customs of various ethnic groups for the public by means of cooperative work. We regard the project as long-term research, in that there are many problems to be solved. Unlike existing systems, we should maintain scalable and interactive performance on a wide variety of computing platforms, not only high-end graphics workstations, and distribute the virtual world via a bandwidth-limited network. We introduce some architectures and algorithms realized in our current prototype, e.g., shared event mechanism, area of interest algorithm, distributed server architecture, etc.

关键词： Virtual reality Computer architecture Collaborative work Computer networks Distributed computing High performance computing Graphics Workstations Prototypes Network servers

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Algorithms of Integrated Student Modeling in Online Virtual Educational Community

Algorithms of Integrated Student Modeling in Online Virtual ...

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2001 International Conferences on Info-tech and Info-net

作者： Yonghong Tian Tiejun Huang Wen Gao Digital Media Lab Institute of Computing TechnologyChinese Academy of Sciences Laboratory of Intelligent Information Processing Chinese Academy of Sciences

The paper focuses on how to construct student models in the online virtual educational *** firstly analyze social interaction between students in the community,and present some algorithms to model students'(personal and shared) needs, preferences or knowledge structures in interaction ***,the paper proposes an integrated student model combined with student modeling in information services and task processes,and emphasizes that it builds up a foundation to personalize information services and customize online educational programs.

关键词： Virtual community interaction activities integrated student modeling personalized study assistants

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Joint speech signal enhancement based on spectral subtraction and SVD filter 6

Joint speech signal enhancement based on spectral subtractio...

引用

6th International Conference on Spoken Language processing, ICSLP 2000

作者： Lu, Wenkai Zhang, Xuegong Li, Yanda Liqin, Shen Weibin, Zhu Institute of Information Processing Department of Automation Key State Lab of Intelligent Technology and System Tsinghua University Beijing100084 China Speech Group IBM China Research Lab. No 26 6th Street Shangdi Haidian District Beijing100085 China

ISBN: (纸本)7801501144

A joint speech signal enhancement based on singular value decomposition filter after spectral subtraction (SSVD) is proposed in this paper. The residual noise after spectral subtraction, which results for audible musical noise, is reduced further by SVD filter. The matrix size in spectral domain can be reduced half, and larger step-length adopted by SVD filter in spectral domain leads to lower cost, which make sure that the system can work in real-time. A novel speech/pause detector based on entropy(ESPD) is proposed too. The new detector improves the performance of the whole noise suppression system significantly.

关键词： Singular value decomposition

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The signal reconstruction of speech by KPCA 6

The signal reconstruction of speech by KPCA

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6th International Conference on Spoken Language processing, ICSLP 2000

作者： Yan, Hui Zhang, Xuegong Li, Yanda Shen, Liqin Zhu, Weibin Institute of Information Processing Department of Automation Key State Lab of Intelligent Technology and System Tsinghua University Beijing100084 China Speech Group IBM China Research Lab. No 26 6th Street Shangdi Haidian District Beijing100085 China

ISBN: (纸本)7801501144

A new method for speech signal reconstruction is proposed by performing a nonlinear Kernel Principal Component Analysis (KPCA). By the use of kernel functions, one can efficiently compute principal components in high-dimensional feature spaces, and reconstruct vectors mapping from input space by those dominant principal components. As the reconstructed vectors is expressed in high dimensional feature space and they could not exist pre-image in input space. For finding pre-image, we use iteration method to approximate the pre-image. The experimental results using KPCA in data reconstruction and denoising in speech signal show that it had many potential advantages comparing with PCA.

关键词： Iterative methods

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Diverse and High-Quality Food Image Generation from Only Food Names

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ACM Transactions on Multimedia computing, Communications, and Applications 1000年

作者： Dongjian Yu Weiqing Min Xin Jin Qian Jiang Ying Jin Shuqiang Jiang School of Software Yunnan University China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

Food image generation holds promising application prospects in food design, advertising, and food education. However, the existing methods rely on information such as recipes, ingredients, or food names, which leads to generated food images with less intra-class diversity. When recipes, ingredients and food names are identical for the same food, the real-world images may vary significantly in appearance. The question of how to simultaneously ensure the quality and diversity of the generated images is a key issue. To this end, we employ pre-trained diffusion model and Transformer to propose a method for generating diverse and high-quality images of both Chinese and Western food, named CW-Food. Different from previous works that utilize an overall food feature to generate new images, CW-Food first decouples the food images to obtain common intra-class features and private instance features. Additionally, we design a Transformer-based feature fusion module to integrate the common and private features, in order to avoid the shortcomings of conventional methods. Moreover, we also utilize a pre-trained diffusion model as our backbone, which is fine-tuned using LoRA with the fused multi-variate features. Extensive experiments on four datasets demonstrate the advantages of our proposed method, producing diverse and high-quality food images encompassing both Chinese and Western cuisines. To the best of our knowledge, our work is the first attempt to generate Chinese food images using only food names.

关键词： Food image Fine-grained image generation Diffusion model

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