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检索条件"任意字段=International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006"

共 26 条记录，以下是1-10 订阅

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Natural, affect aware interfaces: Gesture and Body Expressivity Aspects

Natural, affect aware interfaces: Gesture and Body Expressiv...

引用

8th international workshop on Semantic and Social Media Adaptation and Personalization (SMAP)

作者： Kalatha, Eirini Caridakis, George Univ Aegean Cultural Technol & Commun Dept Mitilini Greece Natl Tech Univ Athens Intelligent Syst Content & Interact Lab Athens Greece

ISBN: (纸本)9780769551326

Recently, a growing number of researchers focus their work on a fledgling field related to the identification, recording, interpreting, processing and simulation of emotion and affective states. Affective computing, along with the wide range of related application areas, is expanded increasingly due to the emerging demand for natural, intelligent, adaptive and personalized multimodal interaction context. This paper focuses on the gesture and bodily expressivity analysis, investigating and reporting the entire spectrum of related aspects such as issues involved in affectively enhanced corpora (stimuli and input streams), respective expressivity formalization approaches as well as machine learning and pattern recognition aspects (feature extraction, multimodal fusion and classification). Finally, the synthesis counterpart of affectively enhanced behavior is examined and future directions of the research area are identified.

关键词： intelligent and adaptive interfaces personalised and natural interaction affective computing gesture and body expressivity

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Natural, Affect Aware interfaces: Gesture and Body Expressivity Aspects

Natural, Affect Aware interfaces: Gesture and Body Expressiv...

引用

international workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Eirini Kalatha George Caridakis Cultural Technology and Communication Department University of the Aegean Mytilene Greece Intelligent Systems National Technical University of Athens Greece

关键词： Hidden Markov models Cameras Affective computing Sensors Computational modeling Classification algorithms Feature extraction

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Advances in Machine Vision, Image Processing, and pattern analysis - international workshop on intelligent computing in pattern analysis/synthesis, iwicpas 2006, Proceedings

Advances in Machine Vision, Image Processing, and Pattern An...

引用

international workshop on intelligent computing in pattern analysis/synthesis, iwicpas 2006

ISBN: (纸本)354037597X

The proceedings contain 51 papers. The topics discussed include: scale space based grammer for hand detection;combined classifiers for action recognition;adaptive sparse vector tracking via online Bayesian learning;iterative division and correlograms for detection and tracking of moving objects;kernel modified quadratic discriminant function for facial expression recognition;3D motion from image derivatives using the least trimmed square regression;a statistically selected part-based probabilistic model for object recognition;approximate vehicle waiting time estimation using adaptive video-based vehicle tracking;mouth region localization method based on Gaussian mixture model;discriminant transform based on scatter difference criterion in hidden space;looking for prototypes by genetic programming;identifying single good clusters in data sets;and a new simplified gravitational clustering method for multi-prototype learning based on minimum classification error training.

关键词： Computer vision

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Research of NIDS in IPV6 Based on Protocol analysis and pattern matching

Research of NIDS in IPV6 Based on Protocol analysis and Patt...

引用

2009 Second international workshop on Knowledge Discovery and Data Mining

作者： Shu-qiang Huang Network and Educational Technology Center of Jinan University School of Computer Science & Engineering,South China University of Technology, Guangzhou,China Huan-ming Zhang Network and Educational Technology Center of Jinan University Guangzhou,China Guo-xiang Yao Information Science and Technology school of Jinan University Guangzhou,China

Some network intrusion security problems of IPv6 are researched and summarized In this *** this paper introduces the model of general IDS and the framework of NIDS of *** at the structure characters of IPv6 protocols,a new research method of network intrusion detection system based on protocol analysis and multi-pattern matching is put *** analysis technology can find protocol suspicious action quickly,and pattern matching technology can detect deep attack action by character ***,a detailed designing scheme and testing result are provided.

关键词： IPv6 Intrusion detection system pattern matching Denial of service attack Protocol analysis

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Genetic granular cognitive fuzzy neural networks and human brains for pattern recognition

Genetic granular cognitive fuzzy neural networks and human b...

引用

1st WICI international workshop on Web Intelligence meets Brain Informatics (WImBI 2006)

作者： Lin, Cui Li, Jun Barrett, Natasha Zhang, Yan-Qing Washburn, David A. Wayne State Univ Dept Comp Sci Detroit MI 48202 USA Georgia State Univ Dept Comp Sci Atlanta GA 30302 USA Georgia State Univ Dept Psychol Atlanta GA 30303 USA

ISBN: (纸本)9783540770275

With ever-improving information technologies and high performance computational power, recent techniques in granular computing, soft computing and cognitive science have allowed an increasing understanding of normal and abnormal brain functions, especially in the research of human's pattern recognition by means of computational intelligence. It is well understood that normal brains have high intelligence to recognize different geometrical patterns, but a systematic framework of biological neural network has not yet be established. In this paper, we propose the genetic granular cognitive fuzzy neural networks (GGCFNN) in order to efficiently testify artificial neural networks' learning capability on human's pattern recognition in term of symmetric and similar geometry patterns. In contrast to other information systems, the GGCFNN is a highly hybrid intelligent system integrating the techniques of genetic algorithms, granular computing, and fuzzy neural networks with cognitive science for pattern recognition. Our ability to simulate biological neural networks makes it possible a more comprehensive quantitative analysis on the pattern recognition of human brains, and our preliminary experiment results would shed lights on the future research of cognitive science and brain informatics.

关键词： Fuzzy neural networks

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Advances in Machine Vision, Image Processing, and pattern analysis 2006

引用

丛书名： Lecture Notes in Computer Science

2006年

作者： Nanning Zheng Xiaoyi Jiang Xuguang Lan

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Visual information encryption in frequency domain: Risk and enhancement 1

引用

international workshop on intelligent computing in pattern analysis/synthesis, iwicpas 2006

作者： Li, Weihai Yuan Department of Electronic Engineering and Information Science University of Sciences and Technology of China Hefei Anhui 230027 China School of Computing and Applied Science Aston University Birmingham B4 7ET United Kingdom

ISBN: (数字)9783540375982

ISBN: (纸本)354037597X

Focusing on the encryption of digital image and video, this paper reports an intrinsic weakness of all existing discrete-cosine-transform (DCT) based algorithms. This serious weakness of DCT is analyzed theoretically and then demonstrated practically. As an instance, a novel attack algorithm is proposed to acquire the sketch information from the encrypted data without any preknowledge of the encryption algorithm. Thereafter, to solve this problem, a full inter-block shuffle (FIBF) approach is developed and it can be employed to improve the encryption security in all DCT-based algorithms, such as JPEG, MPEG and H.26x. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Cryptography

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Using shear invariant for image denoising in the contourlet domain 1

引用

international workshop on intelligent computing in pattern analysis/synthesis, iwicpas 2006

作者： Jia, N. Jiao, Licheng Institute of Intelligent Information Processing Xidian University Xi'an Shaanxi 0710071 China Department of Mathematics Northwest University Xi'an Shaanxi 710069 China

ISBN: (数字)9783540375982

ISBN: (纸本)354037597X

A new contourlet transform based on shear invariant is proposed for image denoising. Image denoising by means of the contourlet transform(CT) introduces many visual artifacts due to the Gibbs-like phenomena. Due to the lack of transform invariance of the contourlet transform, we employ a shear technique to develop shear invariant contourlet denoising scheme (SICT). This scheme achieves enhanced estimation results for images that are corrupted with additive Gaussian noise over a wide range of noise variance. Experiments show that the proposed approach outperforms the translation invariant wavelets method and translation invariant contourlets method both visually and in terms of the PSNR values at most cases. Especially, SICT yields better visual results even has worse PSNR result than translation invariant contourlet transform. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Image processing

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Applying preattentive visual guidance in document image analysis 1

引用

international workshop on intelligent Computer in pattern analysis/synthesis

作者： Wen, Di Ding, Xiaoqing Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Tsinghua Univ State Key Lab Intelligent Technol & Syst Beijing 100084 Peoples R China

ISBN: (数字)9783540375982

ISBN: (纸本)354037597X

In this paper, we present a novel methodology on document image analysis (DIA) which harnesses the mechanism of preattentive visual guidance in human vision. Summarizing the psychophysical discoveries on preattentive vision, we propose two types of computational simulations of this biological process: the visual similarity clustering and visual saliency detection, based on which we implement a novel biological plausible way to guide the interpretation of document images. Experimental results prove the efficiency of these two computational processes, whose outputs can be further utilized by other task-oriented DIA applications.

关键词： document image analysis preattentive visual guidance texture synthesis dynamic clustering visual saliency

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Texture classification via stationary-wavelet based contourlet transform 1

引用

international workshop on intelligent Computer in pattern analysis/synthesis

作者： Hu, Ying Hou, Biao Wang, Shuang Jiao, Licheng Xidian Univ Inst Intelligent Informat Proc Xian 710071 Peoples R China Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China

ISBN: (数字)9783540375982

ISBN: (纸本)354037597X

A directional multiresolution approach was proposed for texture analysis and classification based on a modified contourlet transform named the stationary wavelet-based contourlet transform (SWBCT). In the phase for extracting features after the decomposition, energy measures, Hu moments and co-occurrence matrices were calculated respectively. The progressive texture classification algorithm had better performance compared with several other methods using wavelet, stationary wavelet, brushlet, contourlet and Gabor filters. Moreover, in the case that there are only small scale samples for training, our method can also obtain a satisfactory result.

关键词： Image segmentation

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