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检索条件"任意字段=5th International Conference on Pattern Recognition in Bioinformatics"

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LBP vs SVD for Color Images Feature Extraction 5

LBP vs SVD for Color Images Feature Extraction

引用

5th IEEE international conference on Smart Instrumentation, Measurement and Application (ICSIMA)

作者： Faridah, Y. Nasir, Haida Nikolay, S. Kushsairy, A. K. Khan, Sheroz Univ Kuala Lumpur Malaysian Inst Informat Technol 1016 Jalan Sultan Ismail Kuala Lumpur 50250 Malaysia Int Islamic Univ Malaysia Batu 8Jalan Sg Pusu Gombak 53100 Selangor Malaysia Technion Israel Inst Technol Haifa Israel

ISBN: (纸本)9781538662885

Images are important element in our daily life. We use images to identify things or associate them with others that become important in decision making or correlate with other object for identification purpose. Feature extraction need to be applied to images for them to be useful for the mentioned purpose. By definition, feature extraction is the transformation of input data into a set of features, normally distinctive properties of input patterns that differentiate between many input of patterns. It is also the process to represent raw image (important criteria or parts of) to help in decision making such as pattern detection, classification, recognition or image processing or machine learning. the process of extracting information from images is one of the important elements in authenticating process of biometric system. Many techniques for extracting features have been emerging in the current research. LBP (Local Binary pattern) has been a popular technique in biometric systems used for feature extraction. LBP is a texture feature ex fraction method which produce clearer image result. Another favorite technique known as SVD (Single Value Decomposition) has been selected, discussed and compared with the latter. A sample of still color images were tested for both methods and the results are compared and discussed further in here. this paper concentrates on these two techniques for image processing in a biometric system.

关键词： Algorithm LBP (Local Binary pattern) SVD (Single Value Decomposition) Feature Extraction Texture

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pattern recognition system with top-down process of mental rotation 5th

Pattern recognition system with top-down process of mental r...

引用

5th international Work-conference on Artificial and Natural Neural Networks (IWANN 99)

作者： Satoh, S Aso, H Miyake, S Kuroiwa, J Tohoku Univ Dept Elect Commun Sendai Miyagi 9808579 Japan Tohoku Univ Dept Appl Phys Sendai Miyagi 9808579 Japan Hiroshima Univ Div Math & Informat Sci Higashihiroshima 7398521 Japan

ISBN: (纸本)3540660690

A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. the model is constructed based on psychological experiments in a mental rotation. the model has two types of processes: (i) one is a bottom-up process in which pattern recognition is realized by means of a rotation-invariant neocognitron and a standard neocognitron and (ii) the other is a top-down process in which a,mental rotation is executed by means of a model of associative recall in visual pattern recognition. In computer simulations, it is shown that the model can recognize rotated patterns without training those patterns.

关键词： rotation-invariant neocognitron rotated pattern mental rotation top-down process pattern recognition

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Universal Access in Human-Computer Interaction. Intelligent and Ubiquitous Interaction Environments 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Constantine Stephanidis

ISBN: (数字)9783642027109

ISBN: (纸本)9783642027093

the 13th international conference on Human–Computer Interaction, HCI Inter- tional 2009, was held in San Diego, California, USA, July 19–24, 2009, jointly with the Symposium on Human Interface (Japan) 2009, the 8th international conference on Engineering Psychology and Cognitive Ergonomics, the 5th international conference on Universal Access in Human–Computer Interaction, the third international Conf- ence on Virtual and Mixed Reality, the third international conference on Internati- alization, Design and Global Development, the third international conference on Online Communities and Social Computing, the 5th international conference on Augmented Cognition, the Second international conference on Digital Human Mod- ing, and the First international conference on Human Centered Design. A total of 4,348 individuals from academia, research institutes, industry and gove- mental agencies from 73 countries submitted contributions, and 1,397 papers that were judged to be of high scientific quality were included in the program. these papers - dress the latest research and development efforts and highlight the human aspects of the design and use of computing systems. the papers accepted for presentation thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.

关键词： User Interfaces and Human Computer Interaction Special Purpose and Application-Based Systems pattern recognition Computers and Society Computer Graphics Computer Imaging, Vision, pattern recognition and Graphics

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Proceedings - 2017 5th international conference on Applied Computing and Information Technology, 2017 4th international conference on Computational Science/Intelligence and Applied Informatics and 2017 1st international conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017

Proceedings - 2017 5th International Conference on Applied C...

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5th international conference on Applied Computing and Information Technology, 2017 4th international conference on Computational Science/Intelligence and Applied Informatics and 2017 1st international conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017

ISBN: (纸本)9781538633021

the proceedings contain 44 papers. the topics discussed include: a learning material for physics experiment with high-accuracy using computer vision technique;automatic classification of remarks in werewolf BBS;a rapid incremental frequent pattern mining algorithm for uncertain data;global and local bursts detection in streaming data;two-mode three-way dominance points model for periodic dissimilarity;an intelligent noninvasive taste detection app for watermelons;automated risk identification of CMMI project planning using ontology;and depth recognition in 3D translucent stereoscopic imaging of medical volumes by means of a glasses-free 3d display.

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MULTITARGET TRACKING SYSTEM BASED ON BINARY PHASE EXTRACTION JOINT TRANSFORM CORRELATOR AND NEURAL DATA ASSOCIATION ALGORIthM 5

MULTITARGET TRACKING SYSTEM BASED ON BINARY PHASE EXTRACTION...

引用

5th conference on Optical pattern recognition

作者： YI, SY RYU, CS KIM, ES KWANGWOON UNIV DEPT ELECTR ENGNSEOUL 139701SOUTH KOREA

ISBN: (纸本)0819415413

In this paper, we present an OptoNeural approach to the problem of multitarget tracking. the proposed hybrid OptoNeural system uses a new optical binary phase extraction joint transform correlator (BPEJTC) to reduce the massive input target data into a few correlation peak signals. A parallel computational neural network is then used for effective target tracking data association based on these correlation signals. For real-time operation, the BPEJTC is optically implemented using the high resolution LCD spatial light modulators and CCD detectors. Some experimental results on simultaneous tracking of multitargets are also provided.

关键词： Detection and tracking algorithms Binary data Target detection Joint transforms Target recognition Neural networks Optical pattern recognition Optical tracking Evolutionary algorithms LCDs

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Image Analysis and recognition - 5th international conference, ICIAR 2008, Proceedings

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5th international conference on Image Analysis and recognition, ICIAR 2008

ISBN: (纸本)3540698116

the proceedings contain 111 papers. the topics discussed include: a fast scheme for multiscale signal denoising;color scratches removal using human perception;self-similarity of images in the Fourier domain, with applications to MRI;a simple scaling algorithm based on areas pixels;a new method for sharpening color images using fuzzy approach;wavelet noise reduction based on energy features;fast exact area image upsampling with natural biquadratic histosplines;evolving fuzzy modeling of an uncalibrated visual servoing system;alternative methods for counting overlapping grains in digital images;image affine inpainting;segmentation of hyperspectral images for the detection of rotten mandarins;FPGA implementation of parallel alpha-beta associative memories;from narrow to broad band design and selection in hyperspectral images;and improving the border detection and image enhancement algorithms in tableau.

关键词： Spectroscopy

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OPTICAL WAVELET CORRELATORS FOR CLUTTERED TARGET IDENTIFICATION 5

OPTICAL WAVELET CORRELATORS FOR CLUTTERED TARGET IDENTIFICAT...

引用

5th conference on Optical pattern recognition

作者： YANG, XY CAVIRIS, NP WEN, M QUANTEX CORP ROCKVILLEMD 20850

ISBN: (纸本)0819415413

Novel optical wavelet correlators are presented in this paper. Instead of computing the correlation between the target and the reference patterns, these optical wavelet correlators compute the correlation between the wavelet transform coefficients of the target and reference patterns. It incorporates the efficient feature detection and noise suppression capabilities of wavelet transformation and the inherent high sped and 2D nature of objects. the feature extraction and target identification operations are performed in a single step. By suitably choosing the wavelet functions and their dilation factors, these wavelet correlators are capable of effectively recognizing targets in the presence of clutter and noise. Architectures for both Vander Lugt-type wavelet correlator and wavelet joint transform correlator are discussed in the paper. A wavelet function especially suitable for optical implementation is described. Preliminary experimental results are provided.

关键词： Wavelets Optical correlators Spatial light modulators Crystals Optical pattern recognition Electronic filtering Target recognition Lithium Optical filters Wavelet transforms

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5th international Workshop on Graphics recognition, GREC 2003

5th International Workshop on Graphics Recognition, GREC 200...

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5th international Workshop on Graphics recognition, GREC 2003

ISBN: (纸本)9783540224785

the proceedings contain 34 papers. the special focus in this conference is on Platforms, Architectures, Document Knowledge Models, Technical Documents, Maps, Charts, Perceptual Organization, Indexing and Graphical Signatures. the topics include: A cooperative platform for heterogeneous document interpretation according to user-defined scenarios;knowledge representation and acquisition for engineering document analysis;dealing with noise in DMOS, a generic method for structured document recognition;raster to vector conversion of color cartographic maps;text/graphics separation and recognition in raster-scanned color cartographic maps;resolving ambiguities in toponym recognition in cartographic maps;model-based chart image recognition;extracting system-level understanding from wiring diagram manuals;main wall recognition of architectural drawings using dimension extension line;interactive recognition of graphic objects in engineering drawings;skewed mirror symmetry for depth estimation in 3D line-drawings;vectorial signatures for symbol discrimination;syntactic models to represent perceptually regular repetitive patterns in graphic documents;indexing technical symbols using ridgelets transform;automatic measuring the local thickness of raster lines;adaptable vectorisation system based on strategic knowledge and XML representation use;image quality measure using sliced block distance as a graphical element;recognition of target graphs from images using a genetic algorithm with hill climbing searching;a recognition system for folding process of origami drill books;shape description for automatically structuring graphical data and recognition of on-line handwritten mathematical expressions using a minimum spanning tree construction and symbol dominance.

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Application of Fuzzy Cluster Analysis on Diagnosing the Locations of the Hole Defects in Acer Mono Wood Using Acoustic Testing 5

Application of Fuzzy Cluster Analysis on Diagnosing The Loca...

引用

5th IEEE international conference on Software Engineering and Service Science (ICSESS)

作者： Meng, Xianjing Xing, Tao Xing, Yanqiu Wang, Haoyang Northeast Forestry Univ Coll Engn & Technol Harbin 150040 Heilongjiang Peoples R China

ISBN: (纸本)9781479932795

In order to detect the locations of timber holes defect, a new method based on fuzzy clustering analysis and acoustic non-destructive testing of wood was proposed. there were three kinds of timber samples were taken in the research, and one with a hole at a certain end of it, one with a hole at the middle of it and the other one without a hole. Acoustic signals were collected with hammering method, and time-frequency feature vectors were extracted as the sample data. Cluster analysis was made on the training samples using fuzzy similar matrix based on the transitive closure, after which different classes of fuzzy patterns were created. the test samples were then identified by "maximum membership degree" principle. the results showed that the method was able to detect the position of hole defects in Acer mono wood effectively and accurately. the detection accuracy for samples with an end hole was 84%, for samples with a middle hole was 92% and for samples without a hole was 94%.

关键词： fuzzy pattern recognition wood acoustic nondestructive testing fuzzy cluster

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Hierarchical knowledge representation to approximate functions

Hierarchical knowledge representation to approximate functio...

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5th IEEE international conference on Cognitive Informatics (ICCI 2006)

作者： de Mingo, Luis Fernando Arroyo, Fernando Castellanos, Juan Univ Politecn Madrid Escuela Univ Informat Madrid 28031 Spain Univ Politecn Madrid Fac Informat Madrid 28660 Spain

ISBN: (纸本)9781424404759

this paper presents a practical example of a system based on neural networks that permits to build a conceptual hierarchy. this neural system classifies an input pattern as an element of each different category or subcategory that the system has, until an exhaustive classification is obtained. the proposed neural system is not a hierarchy of neural networks, it establishes relationships among all the different neural networks in order to transmit the neural activation when an external stimulus is presented to the system. Each neural network is in charge of the input pattern recognition to any prototyped class or category, and also of transmitting the activation to other neural networks to be able to continue with the classification. therefore, the communication of the neural activation in the system depends on the output of each one of the neural networks, so as the functional links established among the different networks to represent the underlying conceptual hierarchy.

关键词： function approximation knowledge representation neural nets pattern classification conceptual hierarchy exhaustive classification hierarchical knowledge representation neural activation neural classifier neural networks pattern rec Neural network Knowledge Representation function approximation pattern recognition input mode

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