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4th Mexican conference on pattern recognition, MCPR 2012

作者： Sossa, Humberto Garro, Beatriz A. Villegas, Juan Avilés, Carlos Olague, Gustavo CIC-IPN Juan de Dios Batiz S/N Col. Nva. Industrial Vallejo México D. F. Mexico UAM-Azcapotzalco Av. San Pablo Xalpa 180. Azcapotzalco México D. F. Mexico CICESE Carretera Ensenada-Tijuana 3918 Zona Playitas Ensenada B. C. Mexico

ISBN: (纸本)9783642311482

In this note we present our most recent advances in the automatic design of artificial neural networks (ANNs) and associative memories (AMs) for pattern classification and pattern recall. Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC) algorithms are used for ANNs;Genetic Programming is adopted for AMs. the derived ANNs and AMs are tested with several examples of well-known databases. As we will show, results are very promising. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Neural networks

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4th international Workshop on Graphics recognition, GREC 2001

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4th international Workshop on Graphics recognition, GREC 2001

ISBN: (纸本)3540440666

the proceedings contain 33 papers. the special focus in this conference is on Technical Drawings, Validation, Symbol Segmentation, recognition and Perceptual Organization. the topics include: 3D reconstruction of paper based assembly drawings;interpretation of low-level CAD data for knowledge extraction in early design stages;an efficient form classification method;robust frame extraction and removal for processing form documents;issues in ground-truthing graphic documents;sketch-based user interface for inputting graphic objects on small screen devices;experimental evaluation of a trainable scribble recognizer for calligraphic interfaces;an error-correction graph grammar to recognize texture symbols;perceptual organization as a foundation for graphics recognition;exploiting perceptual grouping for map analysis, understanding and generalization;extraction of contextual information existing among component elements of origami books;semantic analysis and recognition of raster-scanned color cartographic images;structure based interpretation of unstructured vector maps;generating logic descriptions for the automated interpretation of topographic maps;using software component algebra for intelligent document generation;interpreting sloppy stick figures by graph rectification and constraint-based matching;using a generic document recognition method for mathematical formulae recognition;smoothing and compression of lines obtained by raster-to-vector conversion;a scale and rotation parameters estimator application to technical document interpretation;structural rectification of non-planar document images;an effective vector extraction method on architectural imaging using drawing characteristics;a recognition method of matrices by using variable block pattern elements generating rectangular area and extended summary of the arc segmentation contest.

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Biological protein-protein interaction prediction using binding free energies and linear dimensionality reduction

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5th iapr international conference on pattern recognition in bioinformatics, prib 2010

作者： Rueda, L. Garate, Carolina Banerjee, Sridip Mominul Aziz, Md. School of Computer Science University of Windsor 401 Sunset Ave WindsorONN9B 3P4 Canada Department of Computer Science University of Concepcion Concepcion Chile

ISBN: (纸本)9783642160004

An important issue in understanding and classifying protein-protein interactions (PPI) is to characterize their interfaces in order to discriminate between transient and obligate complexes. We propose a classification approach to discriminate between these two types of complexes. Our approach uses contact and binding free energies of the residues present in the interaction, which are the input features for the classifiers. A total of 282 features are extracted for each complex, and the classification is performed via recently proposed dimensionality reduction (LDR) methods, including the well-know Fisher’s discriminant analysis and two heteroscedastic approaches. the results on a standard benchmark of transient and obligate protein complexes show that LDR approaches achieve a very high classification accuracy (over 78%), outperforming various support vector machines and nearest-neighbor classifiers. An additional insight on the proposed approach and experiments on different subsets of features shows that solvation energies can be used in the classification, leading to a performance comparable to using the full binding free energies of the interaction. © 2010, Springer-Verlag Berlin Heidelberg.

关键词： Discriminant analysis

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Real-time emotion recognition using biologically inspired models

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4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Anderson, Keith McOwan, Peter W. Department of Computer Science Queen Mary College University of London LondonE1 4NS United Kingdom

ISBN: (纸本)9783540403029

A fully automated, multi-stage architecture for emotion recognition is presented. Faces are located using a tracker based upon the ratio template algorithm [1]. Optical flow of the face is subsequently determined using a multi-channel gradient model [2]. the speed and direction information produced is then averaged over different parts of the face and ratios taken to determine how facial parts are moving relative to one another. this information is entered into multi-layer perceptrons trained using back propagation. the system then allocates any facial expression to one of four categories, happiness, sadness, surprise, or disgust. the three key stages of the architecture are all inspired by biological systems. this emotion recognition system runs in real-time and has a range of applications in the field of humancomputer interaction. © Springer-Verlag Berlin Heidelberg 2003

关键词： Emotion recognition

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Combining face and iris biometrics for identity verification

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4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Wang, Yunhong Tan, Tieniu Jain, Anil K. National Lab of Pattern Recognition Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing100080 China Department of Computer Sciences Engineering Michigan State University East LansingMI48824 United States

ISBN: (纸本)9783540403029

Face and iris identification have been employed in various biometric applications. Besides improving verification performance, the fusion of these two biometrics has several other advantages. We use two different strategies for fusing iris and face classifiers. the first strategy is to compute either an unweighted or weighted sum and to compare the result to a threshold. the second strategy is to treat the matching distances of face and iris classifiers as a two-dimensional feature vector and to use a classifier such as Fisher’s discriminant analysis and a neural network with radial basis function (RBFNN) to classify the vector as being genuine or an impostor. We compare the results of the combined classifier with the results of the individual face and iris classifiers. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Discriminant analysis

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Assessment of the artificial habitat in shrimp aquaculture using environmental pattern classification

Assessment of the artificial habitat in shrimp aquaculture u...

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4th international conference on Image and Signal Processing, ICISP 2010

作者： Hernández, José Juan Carbajal Fernández, Luis Pastor Sánchez Ibarra, Marco Antonio Moreno Centre of Computer Research National Polytechnic Institute Av. Juan de Dios Bátiz México D.F. 57296000 Ext. 56573 Mexico

ISBN: (纸本)364213680X

this paper presents a novel model for assessing the water quality for the artificial habitat in shrimp aquaculture. the physical-chemical variables involved in the artificial habitat are measured and studied for modeling the environment of the ecosystem. A new physical-chemical index classifies the behavior of the environmental variables, calculating the frequency and the deviations of the measurements based on impact levels. A fuzzy inference system (FIS) is used for establishing a relationship between environmental variables, describing the negative ecological impact of the concentrations reported. the FIS uses a reasoning process for classifying the environmental levels providing a new index, which describes the general status of the water quality (WQI);excellent, good, regular and poor. © Springer-Verlag Berlin Heidelberg 2010.

关键词： Water quality

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in bioinformatics) 2012年 7632 LNBI卷 V页

作者： Shibuya, Tetsuo Kashima, Hisashi Sese, Jun Ahmad, Shandar University of Tokyo Institute of Medical Science 4-6-1 Shirokanedai Minato-ku 108-8639 Tokyo Japan University of Tokyo Department of Mathematical Informatics 7-3-1 Hongo Bunkyo-ku 113-8654 Tokyo Japan Tokyo Institute of Technology Department of Computer Science 2-12-1 Ookayamama Meguro-ku 152-8550 Tokyo Japan National Institute of Biomedical Innovation 7-6-8 Saito-Asagi Suita 567-0085 Osaka Japan

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Audio-visual speaker identification based on the use of dynamic audio and visual features

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4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Fox, Niall Reilly, Richard B. Department of Electronic and Electrical Engineering University College Dublin Belfield Dublin 4 Ireland

ISBN: (纸本)9783540403029

this paper presents a speaker identification system based on dynamical features of both the audio and visual modes. Speakers are modeled using a text dependent HMM methodology. Early and late audio-visual integration are investigated. Experiments are carried out for 252 speakers from the XM2VTS database. From our experimental results, it has been shown that the addition of the dynamical visual information improves the speaker identification accuracies for both clean and noisy audio conditions compared to the audio only case. the best audio, visual and audio-visual identification accuracies achieved were 86.91%, 57.14% and 94.05% respectively. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Loudspeakers

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A bayesian MCMC on-line signature verification

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4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Kondo, Mitsuru Muramatsu, Daigo Sasaki, Masahiro Matsumoto, Takashi Department of Electrical Electronics and Computer Engineering Graduate School of Science and Engineering Waseda University 3-4-1 Ohkubo Shinjuku-ku Tokyo Japan

ISBN: (纸本)9783540403029

Authentication of individuals is rapidly becoming an important issue. the authors have previously proposed a pen-input online signature verification algorithm. the algorithm considers writer's signature as a trajectory of pen-position, pen-pressure and peninclination which evolves over time, so that it is dynamic and biometric. In our previous work, genuine signatures were separated from forgery signatures in a linear manner. this paper proposes a new algorithm which performs nonlinear separation using Bayesian MCMC (Markov Chain Monte Carlo). A preliminary experiment is performed on a database consisting of 1852 genuine signatures and 3170 skilled1 forgery signatures from fourteen individuals. FRR 0.81% and FAR 0.87% are achieved. Since no fine tuning was done, this preliminary result looks very promising. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Authentication

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Personal verification using palmprint and hand geometry biometric

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4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Kumar, Ajay Wong, David C. M. Shen, Helen C. Jain, Anil K. Department of Computer Science Hong Kong University of Science and Technology Clear Water Bay Hong Kong Pattern Recognition and Image Processing Lab Department of Computer Science and Engineering Michigan State University East LansingMI48824 United States

ISBN: (纸本)9783540403029

A new approach for the personal identification using hand images is presented. this paper attempts to improve the performance of palmprint-based verification system by integrating hand geometry features. Unlike other bimodal biometric systems, the users does not have to undergo the inconvenience of passing through two sensors since the palmprint and hand geometry features can be are acquired from the same image, using a digital camera, at the same time. Each of these gray level images are aligned and then used to extract palmprint and hand geometry features. these features are then examined for their individual and combined performance. the image acquisition setup used in this work was inherently simple and it does not employ any special illumination nor does it use any pegs to cause any inconvenience to the users. Our experimental results on the image dataset from 100 users confirm the utility of hand geometry features with those from palmprints and achieve promising results with a simple image acquisition setup. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Image acquisition

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