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6th international conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Zhang, Yanjie Prinet, Veronique Wu, Shuanhu School of Computer Science and Technology Yantai Universiy China National Laboratory of Pattern Recognition Institute of Automation CAS China

ISBN: (纸本)9780769537351

Gene expression data analysis is very important for the research on gene regulatory mechanisms. Genes which exhibit similar patterns are often functionally related. In this paper a novel bicluster detection method is proposed. Its advantage lies in it can not only make use of the traditional data clustering methods, but also form a systemic architecture. the whole processing procedure can be divided into two parts. the first is using one existing clustering method to cluster all the 2-combinations of the data matrix in the direction where the dimensionality is samller, then based on the clustering results some binary tables are created. the second part is to verify the concatenated quasi-bicluster. Since the data in the same bicluster is highly correlated with each other, a principal component analysis (PCA) based efficient verification method is applied, which can also work in noisy environment. the whole processing aims at finding all of the possible biclusters from large to small. © 2009 IEEE.

关键词： Principal component analysis

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Acoustic sleepiness detection: Framework and validation of a speech-adapted pattern recognition approach

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BEHAVIOR RESEARCH MEthODS 2009年第3期41卷 795-804页

作者： Krajewski, Jarek Batliner, Anton Golz, Martin Univ Wuppertal Expt Business Psychol D-42097 Wuppertal Germany Univ Erlangen Nurnberg Erlangen Germany Univ Appl Sci Schmalkalden Schmalkalden Germany

this article describes a general framework for detecting sleepiness states on the basis of prosody, articulation, and speech-quality-related speech characteristics. the advantages of this automatic real-time approach are that obtaining speech data is nonobstrusive and is free from sensor application and calibration efforts. Different types of acoustic features derived from speech, speaker, and emotion recognition were employed (frame-level-based speech features). Combing these features with high-level contour descriptors, which capture the temporal information of frame-level descriptor contours, results in 45,088 features per speech sample. In general, the measurement process follows the speech-adapted steps of pattern recognition: (1) recording speech, (2) preprocessing, (3) feature computation (using perceptual and signal-processing-related features such as, e.g., fundamental frequency, intensity, pause patterns, formants, and cepstral coefficients), (4) dimensionality reduction, (5) classification, and (6) evaluation. After a correlation-filter-based feature subset selection employed on the feature space in order to find most relevant features, different classification models were trained. the best model-namely, the support-vector machine-achieved 86.1% classification accuracy in predicting sleepiness in a sleep deprivation study (two-class problem, N = 12;01.00-08.00 a.m.).

关键词： DROWSINESS pattern perception VERSIFICATION ARTICULATION (Speech) SLEEP deprivation

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Emerging pattern based classification for automated non-safe power line detection

Emerging pattern based classification for automated non-safe...

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6th international conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Park, Jin Hyoung Lee, Heon Gyu Sohn, Gyo Yong Shin, Jin-Ho Ryu, Keun Ho Database/Bioinformatics Laboratory Chungbuk National University Cheongju Korea Republic of Postal and Logistics Research Laboratory Electronics and Telecommunications Research Institute Daejeon Korea Republic of Power Information Technology Group Korea Electric Power Research Institute Daejeon Korea Republic of

ISBN: (纸本)9780769537351

In this paper, we proposed an automated load patterns classification technique to detect potentially non-safe power lines to prevent the power failure and to control the power distribution system efficiently. In operating power distribution, if there is overload in the fixed load capability of a power line, the power line will be breakdown, and that accident causes significant financial damages. For the prevention of power cut, we extracted the load shape feature according to the characteristic of electric consumption in Korea, and detected the anomalous patterns of non-safe power lines group using classifier based on EPs (emerging patterns) [1]. the discovered EPs have high support in non-safe power lines group and have low support in the normal group. In order to evaluate our classification method, power load data and information of 401 power lines are used during Feb. 2007, and compared with several existing classification methods. As a result of our experiments, the overall accuracy of EPs-based classification method about power load data was turned out to be about 91.75%. And the accuracy of non-safe power line group was about 96%. © 2009 IEEE.

关键词： Classification (of information)

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Regional pattern Discovery in Geo-referenced Datasets Using PCA

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6th international conference on Machine Learning and Data Mining in pattern recognition

作者： Celepcikay, Oner Ulvi Eick, Christoph F. Ordonez, Carlos Univ Houston Dept Comp Sci Houston TX 77204 USA

ISBN: (纸本)9783642030697

Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets are regional therefore there is a great need to extract regional knowledge front spatial datasets. this paper proposes a novel framework to discover interesting regions characterized by "strong regional correlation relationships" between attributes. and methods to analyze differences and similarities between regions. the framework employs a two-phase approach: it first discovers regions by employing clustering algorithms that maximize a PCA-based fitness function and then applies post processing techniques to explain Underlying regional Structures and correlation patterns. Additionally, a new similarity measure that assesses the structural Similarity Of regions based on correlation sets is introduced. We evaluate our framework in I case study which centers on finding correlations between arsenic pollution and other factors in water wells and demonstrate that our framework effectively identifies regional correlation patterns.

关键词： Spatial Data Mining Correlation patterns Regional Knowledge Discovery Clustering PCA

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Interacting with Digital Signage Using Hand Gestures

Interacting with Digital Signage Using Hand Gestures

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6th international conference on Image Analysis and recognition

作者： Chen, Qing Malric, Francois Zhang, Yi Abid, Muhammad Cordeiro, Albino Petriu, Emil M. Georganas, Nicolas D. Univ Ottawa DISCOVER Lab 800 King Edward Ave Ottawa ON K1N 6N5 Canada Tianjin Univ Inst Comp Graphics & Image Processing Tianjin 300072 Peoples R China

ISBN: (纸本)9783642026102

Digital signage is a very attractive medium for advertisement and general communications in public open spaces. In order to add interaction capabilities to digital signage displays, special considerations must be taken. For example, the signs' environment and placement might prevent direct access to conventional means of interaction, such as using a keyboard or a touch-sensitive screen. this paper describes a vision-based gesture recognition approach to interact with digital signage systems and discusses the issues faced by such systems. Using Haar-like features and the AdaBoosting algorithm, a set of hand gestures call be recognized in real-time and converted to gesture commands to control and manipulate the digital signage display. A demonstrative application using this gesture recognition interface is also depicted.

关键词： Touch screens

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Diagnosis for fatigue cracking in concealment of large-scale overloaded supporting shaft based on time series and fuzzy clustering

Diagnosis for fatigue cracking in concealment of large-scale...

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6th international conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Li, Xuejun Bin, Guangfu Huang, Zhenyu Dhillon, Balbir S. Hunan Province Key Lab. of Health Maintenance for Mechanical Equipment Hunan University of Science and Technology Xiangtan 411201 China Department of Mechanical Engineering University of Ottawa Ottawa ON K1N 6N5 Canada Department of Mechanical and Electronical Engineering Xiangtan Vocational and Technical College Xiangtan 411102 China

ISBN: (纸本)9780769537351

Fatigue cracking in concealment of largescale overloaded supporting shaft often causes accident, breaks product line, and results in high loss for enterprises due to the unobserved and random characteristics. A novel approach is proposed to detect the fatigue cracking based on time series and fuzzy clustering. the vibration signal with structural state information can be collected from its pedestal position through analyzing the features of such fatigue cracking. the AR diagnosis model is established by using the time series method based on MATLAB procedure. the model parameters with integrated failure information are taken as feature values to form standard failure mode feature vectors space. the fuzzy clustering theory is applied to achieve the failure pattern recognition, and combined with the Euclidean distance discriminant function to match the candidate vector with maximal subjection degree among the standard vector space. thus, the fatigue cracking of measuring supporting shaft can be diagnosed. In the end, the result of an example demonstrates that the proposed approach is effective and easy to implement. © 2009 IEEE.

关键词： Fuzzy clustering

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Granular Computing and Rough Sets to Generate Fuzzy Rules

Granular Computing and Rough Sets to Generate Fuzzy Rules

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6th international conference on Image Analysis and recognition

作者： Guliato, Denise de Sousa Santos, Jean Carlo Univ Fed Uberlandia Fac Computacao Av Jodo Naves de Avila2121Bloco B BR-38400902 Uberlandia MG Brazil Med Assistida Computac Cient INCT MACC Uberlandia MG Brazil

ISBN: (纸本)9783642026102

In the recent years, rough set theory has been applied in diverse areas of research, however its application to classification problems is still a challenger. In this paper we present a new method to automatically generate fuzzy rules using an extension of rough sets. We use genetic algorithm to determine the granules of the knowledge to obtain the rough sets. the resulting classifier system based on the set of fuzzy rules was tested with the public databases: Iris, Wine, and Wdbc datasets, presenting accuracy rates of 100%, 100%, and 99%, respectively.

关键词： Rough set Fuzzy rule Fuzzy Classifier Fuzzy Membership Function Approximation Operators pattern Recogntion

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Diffusion-Based Detection of Carotid Artery Lumen from Ultrasound Images

Diffusion-Based Detection of Carotid Artery Lumen from Ultra...

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6th international conference on Image Analysis and recognition

作者： Abdel-Dayem, Amr R. El-Sakka, Mahmoud R. Laurentian Univ Dept Math & Comp Sci Sudbury ON P3E 2C6 Canada Univ Western Ontario Comp Sci Dept London ON Canada

ISBN: (纸本)9783642026102

this paper presents an experimental study on the effect of using diffusion-based filters on segmenting carotid artery ultrasound images. Moreover, comparisons with other segmentation schemes, found in literature, were conducted. In this study, the segmentation process starts with the original ultrasound image as the initial image u(0) (the image at time t=0). then, the image diffuses as the time t advances until a steady state is reached. At steady state, the real component of the diffused image will be a smoothed version of the input image, whereas the imaginary component will approximate a smoothed second derivative, which is used to extract the artery contours. the experimental results demonstrated the efficiency of diffusion-based filters in segmenting carotid artery ultrasound images.

关键词： segmentation complex diffusion carotid artery lumen ultrasound image experimental study

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Structured Light Stereoscopic Imaging with Dynamic Pseudo-random patterns

Structured Light Stereoscopic Imaging with Dynamic Pseudo-ra...

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6th international conference on Image Analysis and recognition

作者： Payeur, Pierre Desjardins, Danick Univ Ottawa SITE Ottawa ON K1N 6N5 Canada

ISBN: (纸本)9783642026102

Structured light stereoscopic imaging offers an efficient and affordable solution to 3D modeling of objects. the majority of structured light patterns that have been proposed either provide a limited resolution or are sensitive to the inherent texture on the surface of the object. this paper proposes an innovative imaging strategy that accomplishes 3D reconstruction of objects using a combination of spatial-neighboring and time-multiplexing structured light patterns encoded with uniquely defined pseudo-random color codes. the approach is extended with the concept of dynamic patterns that adaptively increases the reconstruction resolution. Original techniques are introduced to recover and validate pseudo-random codes from stereoscopic images, and to consistently map color and texture over the reconstructed surface map. Experimental results demonstrate the potential of the solution to create reconstructions with various densities of points and prove the robustness of the approach on objects with different Surface properties.

关键词： stereoscopic vision structured light 3D modeling pseudo-random patterns

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Coefficient-Tracking Speckle Reducing Anisotropic Diffusion

Coefficient-Tracking Speckle Reducing Anisotropic Diffusion

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6th international conference on Image Analysis and recognition

作者： Ibrahim, Walid El-Sakka, Mahmoud R. Univ Western Ontario Dept Comp Sci London ON N6H 5B7 Canada

ISBN: (纸本)9783642026102

Speckle reducing anisotropic diffusion (SRAD) filter is introduced to significantly reduce speckle noise from images. Yet, SRAD suffers from the problems of ordinary diffusion filters, e.g., objects boundaries broadening and edges dislocation. this paper provides a more robust diffusion-filtering scheme, which is based on tracking the image main features across SRAD wale-space images. Coefficient-tracking SRAD (CSRAD) controls the amount of allowed diffusion based on the edges original location. CSRAD is tested on Berkley segmentation dataset. CSRAD results are Subjectively compared with those of SRAD in terms of edge localization, smoothing enhancement, and features preserving. Experimental results show that CSRAD significantly reduced the features distortion and edges dislocation effects. Consequently, the entire diffusion process is enhanced.

关键词： Anisotropic diffusion diffusion filtering edge detection features preservation instantaneous coefficient of variation noise reduction speckle noise

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