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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： CHENG DENG XIN-BO GAO DA-CHENG TAO XUE-LONG LI Lab of Video & Image Processing System School of Electronic Engineering Xidian University Xi'an 7 Lab of Video & Image Processing System School of Electronic Engineering Xidian University Xi'an 7 Department of computing The Hong Kong Polytechnic University Hung Horn Kowloon Hong Kong School of Computer Science and Information Systems Birkbeck University of London London WC1E 7HX

In this paper, we present a robust approach of digital watermarking embedding and retrieval for digital *** new approach works in special domain and it has two major steps: (1) to extract affine co-variant regions, and (2) to embed watermarks with a novel fuzzy inference *** advantage of this proposed approach is demonstrated by a large amount of experiments, which are mainly against different attacks, such as common image processing, rotation, scaling, cropping, and several other affine transformations.

关键词： Robust digital watermarking information security Affine co-variant regions Fuzzy inference system

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Vertical vergence calibration for augmented reality displays

Vertical vergence calibration for augmented reality displays

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IEEE Virtual Reality 2006 Conference

作者： Livingston, Mark A. Ellis, Stephen R. White, Sean M. Virtual Reality Lab. Naval Research Laboratory United States Human Information Processing Research Branch NASA Ames Research Center United States Department of Computer Science Columbia University United States

ISBN: (纸本)1424402239

Stereo and bi-ocular head-mounted displays (HMDs) require the user to fuse two,images into a coherent picture of the three-dimensional world, The human visual system performs this task constantly, but when the input images contain both real and graphical depictions, the problem becomes more difficult. A vertical disparity in the,graphics causes diplopia for user's trying to fuse the real and virtual objects simultaneously. We implement three methods, to measure and correct this disparity and assess them with,a collection of a single model of optical see-through HMD.

关键词： augmented reality head-mounted display vergence

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gTRICLUSTER: A more general and effective 3D clustering algorithm for gene-sample-time microarray data

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PAKDD 2006 Workshop on Data Mining for Biomedical Applications, BioDM 2006

作者： Jiang, Haoliang Zhou, Shuigeng Guan, Jihong Zheng, Ying Department of Computer Science and Engineering Fudan University 220 Handan Road Shanghai 200433 China Shanghai Key Lab. of Intelligent Information Processing Fudan University 220 Handan Road Shanghai 200433 China Dept. of Computer Sci. and Technol. Tongji University Shanghai 200092 China

ISBN: (纸本)3540331042

Clustering is an important technique in microarray data analysis, and mining three-dimensional (3D) clusters in gene-sample-time (simply GST) microarray data is emerging as a hot research topic in this area. A 3D cluster consists of a subset of genes that are coherent on a subset of samples along a segment of time series. This kind of coherent clusters may contain information for the users to identify useful phenotypes, potential genes related to these phenotypes and their expression rules. TRICLUSTER is the state-of-the-art 3D clustering algorithm for GST microarray data. In this paper, we propose a new algorithm to mine 3D clusters over GST microarray data. We term the new algorithm gTRICLUSTER because it is based on a more general 3D cluster model than the one that TRICLUSTER is based on. gTRICLUSTER can find more biologically meaningful coherent gene clusters than TRICLUSTER can do. It also outperforms TRICLUSTER in robustness to noise. Experimental results on a real-world microarray dataset validate the effectiveness of the proposed new algorithm. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Database systems

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Evolving Apollonian networks with small-world scale-free topologies

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Physical Review E 2006年第4期74卷 046105-046105页

作者： Zhongzhi Zhang Lili Rong Shuigeng Zhou Department of Computer Science and Engineering Fudan University Shanghai 200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai 200433 China Institute of Systems Engineering Dalian University of Technology Dalian 116023 Liaoning China

We propose two types of evolving networks: evolutionary Apollonian networks (EANs) and general deterministic Apollonian networks (GDANs), established by simple iteration algorithms. We investigate the two networks by both simulation and theoretical prediction. Analytical results show that both networks follow power-law degree distributions, with distribution exponents continuously tuned from 2 to 3. The accurate expression of clustering coefficient is also given for both networks. Moreover, the investigation of the average path length of EAN and the diameter of GDAN reveals that these two types of networks possess small-world feature. In addition, we study the collective synchronization behavior on some limitations of the EAN.

关键词： SYNCHRONIZED CHAOS COMPLEX NETWORKS SYSTEMS LASERS MODEL

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Vertical Vergence Calibration for Augmented Reality Displays

Vertical Vergence Calibration for Augmented Reality Displays

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IEEE Annual International Symposium Virtual Reality

作者： M.A. Livingston S.R. Ellis S.M. White S.K. Feiner A. Lederer Adam Lederer Naval Research Laboratory USA Virtual Reality Lab Naval Research Laboratory Inc. USA Human Information Processing Research Branch NASA Ames Research Center Human Information Processing Research Branch NASA Ames Research Center USA Department of Computer Science Columbia University Department of Computer Science Columbia University USA

Stereo and bi-ocular head-mounted displays (HMDs) require the user to fuse two images into a coherent picture of the threedimensional world. The human visual system performs this task constantly, but when the input images contain both real and graphical depictions, the problem becomes more difficult. A vertical disparity in the graphics causes diplopia for users trying to fuse the real and virtual objects simultaneously. We implement three methods to measure and correct this disparity and assess them with a collection of a single model of optical see-through HMD.

关键词： Calibration Augmented reality Fuses Eyes computer displays Humans Visual system computer graphics Image segmentation Virtual reality

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Common acoustical pole estimation from multi-channel musical audio signals

Common acoustical pole estimation from multi-channel musical...

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作者： Yoshioka, Takuya Hikichi, Takafumi Miyoshi, Masato Okuno, Hiroshi G. Department of Intelligence Science and Technology Graduate School of Informatics Kyoto University Kyoto-shi 606-8501 Japan NTT Communication Science Laboratories NTT Corporation Kyoto-fu 619-0237 Japan ASJ Japan IPSJ Japan Signal Processing Research Group Communication Science Laboratories NTT Japan IEEE ASA Media Information Lab. NTT Communication Science Labs. Japan AES Department of Computer Science Graduate School of Informatics Kyoto University Kyoto Japan JSAI JSSST RSJ JCSS ACM AAAI

This paper describes a method for estimating the amplitude characteristics of poles common to multiple room transfer functions from musical audio signals received by multiple microphones. Knowledge of these pole characteristics would make it easier to manipulate audio equalizers, since they correspond to the room resonance. It has been proven that an estimate of the poles can be calculated precisely when a source signal is white. However, if a source signal is colored as in the case of a musical audio signal, the estimate is degraded by the frequency characteristics originally contained in the source signal. In this paper, we consider that an amplitude spectrum of a musical audio signal consists of its envelope and fine structure. We assume that musical pieces can be classified into several categories according to their average amplitude spectral envelopes. Based on this assumption, the amplitude spectral envelope of the musical audio signal can be obtained from prior knowledge of the average amplitude spectral envelope of a musical piece category into which the target piece is classified. On the other hand, the fine structure is identified based on its time variance. By removing both the spectral envelope and the fine structure from the amplitude spectrum estimated with the conventional method, the amplitude characteristics of the acoustical poles can be extracted. Simulation results for 20 popular songs revealed that our method was capable of estimating the amplitude characteristics of the acoustical poles with a spectral distortion of 3.11 dB. In particular, most of the spectral peaks, corresponding to the room resonance modes, were successfully detected. Copyright © 2006 The Institute of Electronics, information and Communication Engineers.

关键词： Parameter estimation

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A competitive learning neural network for auditory information processing using the pulsed neuron model

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Systems and computers in Japan 2005年第13期36卷 13-22页

作者： Kuroyanagi, Susumu Iwata, Akira Graduate School of Engineering Nagoya Institute of Technology Nagoya 466-8555 Japan Nagoya Institute of Technology Nagoya 466-8555 Japan Department of Computer Science and Engineering Graduate School of Engineering Acoustic Society of Japan Japan Neural Network Society JSMEBE Department of Computer Science and Engineering Graduate School Information Processing Society JSMEBE Japan Electrocardiography Society Japan Neural Network Society Japan Society for Medical Information Processing IEEE

The purpose of this study is to construct an auditory information processing system using the pulsed neuron model, which is suited to hardware implementation. The realization of a competitive learning network composed only of pulsed neuron models is investigated. A new winner neuron decision process is proposed in which the threshold of each neuron is controlled by a state-detection neuron, which monitors the firing situation of the competitive learning neurons. A competitive learning network is constructed on the basis of the proposed method. An operation simulation demonstrates that the winner neuron can be determined by the proposed method, following the change of the input signal, by using only pulsed neuron models, thus realizing vector quantization suited to auditory information processing. © 2005 Wiley Periodicals, Inc.

关键词： neural networks

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A method of reducing speckle noise in SAR image based on laplacian pyramid directional filter banks

A method of reducing speckle noise in SAR image based on lap...

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2005 International Conference on neural Networks and Brain Proceedings, ICNNB'05

作者： Jin, Hai-Yan Yang, Xiao-Hui Jiao, Li-Cheng Liu, Fang Institute of Intelligent Information Processing National Lab for Radar Signal Processing Xidian University Xi'an710071 China Computer Science Department Xidian University Xi'an710071 China

ISBN: (纸本)0780394224

Based on the characteristic of SAR images and speckle noise, combining the direction information with multiple resolution analysis, an idea based on directional filter banks is presented in this paper. Combining with laplacian pyramid analysis further, a method of reducing speckle noise in SAR image based on laplacian pyramid directional filter banks is given in the paper. Comparing the results by emulation experiments, the validity of the method in this paper is proved. © 2005 IEEE.

关键词： Image processing

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Efficient video clip retrieval using index structure

Efficient video clip retrieval using index structure

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2005 IEEE 7th Workshop on Multimedia Signal processing, MMSP 2005

作者： Zhang, Jing Yang, Linjun Lu, Hong Xue, Xiangyang Tan, Yap-Peng Shanghai Key Lab. of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore

ISBN: (纸本)0780392892

Retrieving similar video clips from large video database requires high query efficiency, precision and recall, which remains a challenging problem since the traditional query algorithms arc inefficient and time-consuming. In this paper, we adopt the high-dimensional index structure Vector-Approximation File (VA-File) to organize the video database, and propose a new similarity measure which takes the temporal order among the video representations into account to improve the accuracy of query. Based on the VA-File and similarity measure, a new video clip retrieval algorithm is proposed in our method to achieve high query efficiency by using restricted sliding window to construct candidate video clips. Experimental results show that the proposed video retrieval method is efficient and effective.

关键词： Signal processing

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A Method of Reducing Speckle Noise in SAR Image Based on Laplacian Pyramid Directional Filter Banks

A Method of Reducing Speckle Noise in SAR Image Based on Lap...

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2005 International Conference on neural Networks and Brain(ICNN&B’05)

作者： Hai-yan Jin Xiao-hui Yang Li-cheng Jiao Fang Liu Institute of Intelligent information processing and National Lab for Radar Signal Processing Xidian University Computer Science Department Xidian University

Based on the characteristic of SAR images and speckle noise,combining the direction information with multiple resolution analysis,an idea based on directional filter banks is presented in this *** with laplacian pyramid analysis further,a method of reducing speckle noise in SAR image based on laplacian pyramid directional filter banks is given in the *** the results by emulation experiments,the validity of the method in this paper is proved.

关键词： SAR A Method of Reducing Speckle Noise in SAR Image Based on Laplacian Pyramid Directional Filter Banks Laplacian Filter

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