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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

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8th IFIP 12 international conference on Intelligent Information Processing, IIP 2014

8th IFIP 12 International Conference on Intelligent Informat...

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8th IFIP international conference on Intelligent Information Processing, IIP 2014

ISBN: (纸本)9783662449790

the proceedings contain 35 papers. the special focus in this conference is on Machine Learning, Data Mining, Web Mining, Multi-agent Systems, Automatic Reasoning, Decision Algorithms, Multimedia pattern recognition and Information Security. the topics include: Semi-paired probabilistic canonical correlation analysis;using bat algorithm with levy walk to solve directing orbits of chaotic systems;complex proteomes analysis using label-free mass spectrometry- based quantitative approach coupled with biomedical knowledge;online migration solver based on instructions statistics;extracting part-whole relations from online encyclopedia;topic detection and evolution analysis on microblog;adaptive mechanism based on shared learning in multi-agent system;an agent-based autonomous management approach to dynamic services;research and application analysis of feature binding mechanism;verification of branch-time property based on dynamic description logic;dynamic description logic based on DL-Lite;formalizing the matrix inversion based on the adjugate matrix in HOL4;a heuristic approach to acquisition of minimum decision rule sets in decision systems;cooperative decision algorithm for time critical assignment without explicit communication;using PDDL to solve vehicle routing problems;automated localization and accurate segmentation of optic disc based on intensity within a minimum enclosing circle;a traffic camera calibration method based on multi-rectangle;a multi-instance multi-label learning framework of image retrieval;the retrieval of shoeprint images based on the integral histogram of the Gabor transform domain;scene classification using spatial and color features;multipath convolutional-recursive neural networks for object recognition;identification of co-regulated gene network by using path consistency algorithm based on gene ontology and efficient integrity protection for P2P streaming.

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GPU-Based Fast Training of Discriminative Learning Quadratic Discriminant Function for Handwritten Chinese Character recognition

GPU-Based Fast Training of Discriminative Learning Quadratic...

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12th international conference on Document Analysis and recognition (ICDAR)

作者： Zhou, Ming-Ke Yin, Fei Liu, Cheng-Lin Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100190 Peoples R China

ISBN: (纸本)9781479901937

the discriminative training of classifiers for handwritten Chinese character recognition (HCCR) is highly demanding in computation due to the large number of categories. the inability of discriminative training with large sample set on personal computers has hindered the accuracy promotion for HCCR. To overcome this problem, we have implemented the training algorithm of discriminative learning quadratic discriminant function (DLQDF) on our graphics processing units (GPU) server, and have achieved 15 times speedup compared to single-core computation. By enlarging training sample set via distortion on a standard dataset of 3,755 classes, we could train the DLQDF on more than 50 million samples within 150min and get the test accuracy improved by 1.36%.

关键词： handwritten Chinese character recognition discriminative learning modified quadratic discriminant function GPU parallel computing sample synthesis

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ICDAR 2013 CROHME: third international Competition on recognition of Online Handwritten Mathematical Expressions

ICDAR 2013 CROHME: Third International Competition on Recogn...

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12th international conference on Document Analysis and recognition (ICDAR)

作者： Mouchere, Harold Viard-Gaudin, Christian Zanibbi, Richard Garain, Utpal Kim, Dae Hwan Kim, Jin Hyung Univ Nantes Ecole Polytech LUNAM IRCCyN IVC UMR CNRS 6597 F-44306 Nantes 03 France Rochester Inst Technol Dept Comp Sci Rochester NY 14623 USA Indian Stat Inst Comp Vision & Pattern Recognit Unit Kolkata India Korea Adv Inst Sci & Technol Taejon 305701 South Korea

We report on the third international Competition on Handwritten Mathematical Expression recognition (CROHME), in which eight teams from academia and industry took part. For the third CROHME, the training dataset was expanded to over 8000 expressions, and new tools were developed for evaluating performance at the level of strokes as well as expressions and symbols. As an informal measure of progress, the performance of the participating systems on the CROHME 2012 data set is also reported. Data and tools used for the competition will be made publicly available.

关键词： handwritten character recognition mathematics computing

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A temporal pattern predictor for virtual characters 12

A temporal pattern predictor for virtual characters

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12th European conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013

作者： Rosenkind, Micah Arnold, David Winstanley, Graham University of Brighton United Kingdom

ISBN: (纸本)9780262317092

this paper discusses a prototype of a temporal pattern predictor, which was built on specifications derived from the descriptions of the "Ergotrix" temporal memory network in Valentino Braitenberg s "Vehicles" (Braitenberg, 1984). the prototype was developed as a component for a control architecture for virtual characters. © 2013 proceedings of the 12th European conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013. All rights reserved.

关键词： Biological systems

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Two-Dimensional Hidden Markov Models for pattern recognition

Two-Dimensional Hidden Markov Models for Pattern Recognition

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12th international conference on Artificial Intelligence and Soft computing, ICAISC 2013

作者： Bobulski, Janusz Adrjanowicz, Lukasz Czestochowa Tech Univ Inst Comp & Informat Sci PL-42200 Czestochowa Poland

ISBN: (纸本)9783642386572

Hidden Markov models are well-known methods for image processing. they are used in many areas where 1D data are processed. In the case of 2D data, there appear some problems with application HMM. there are some solutions, but they convert input observation from 2D to 1D, or create parallel pseudo 2D HMM, which is set of 1D HMMs in fact. this paper describes authentic 2D HMM with two-dimensional input data, and its application for pattern recognition in image processing.

关键词： hidden Markov model pattern recognition image processing

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2013 IEEE/ACIS 12th international conference on Computer and Information Science, ICIS 2013 - proceedings

2013 IEEE/ACIS 12th International Conference on Computer and...

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2013 IEEE/ACIS 12th international conference on Computer and Information Science, ICIS 2013

ISBN: (纸本)9781479901746

the proceedings contain 96 papers. the topics discussed include: a study of requirement definition in user-oriented virtual network architecture;approaches to analyze requirements of billing management for cloud computing services;instant distributed minimum diameter tree construction for scalable application layer multicast;adaptation of region growing thresholds using the memetic programming algorithm;a framework for evaluating software design pattern specification languages;analysis of impression received from reverse perspective illusion to create innovative advertising;analysis of programming competency for PEAS system innovation - PEAS system: programming experience assessment scale system;layout-tree-based approach for identifying visually similar blocks in a web page;mapping of nearest neighbor for classification;and developing an argumentation support system for face-to-face collaborative learning.

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Functional mesh learning for pattern analysis of cognitive processes

Functional mesh learning for pattern analysis of cognitive p...

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12th IEEE international conference on Cognitive Informatics and Cognitive computing, ICCI*CC 2013

作者： Firat, Orhan Özay, Mete Önal, Itir Oztekin, Ilke Vural, Fatoş T. Yarman Department of Computer Engineering Middle East Technical University Ankara Turkey Department of Psychology Koç University Istanbul Turkey

ISBN: (纸本)9781479907816

We propose a statistical learning model for classifying cognitive processes based on distributed patterns of neural activation in the brain, acquired via functional magnetic resonance imaging (fMRI). In the proposed learning machine, local meshes are formed around each voxel. the distance between voxels in the mesh is determined by using functional neighborhood concept. In order to define functional neighborhood, the similarities between the time series recorded for voxels are measured and functional connectivity matrices are constructed. then, the local mesh for each voxel is formed by including the functionally closest neighboring voxels in the mesh. the relationship between the voxels within a mesh is estimated by using a linear regression model. these relationship vectors, called Functional Connectivity aware Local Relational Features (FC-LRF) are then used to train a statistical learning machine. the proposed method was tested on a recognition memory experiment, including data pertaining to encoding and retrieval of words belonging to ten different semantic categories. Two popular classifiers, namely k-Nearest Neighbor and Support Vector Machine, are trained in order to predict the semantic category of the item being retrieved, based on activation patterns during encoding. the classification performance of the Functional Mesh Learning model, which range in 62-68% is superior to the classical multi-voxel pattern analysis (MVPA) methods, which range in 40-48%, for ten semantic categories. © 2013 IEEE.

关键词： Encoding (symbols)

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Medical Computer Vision. recognition Techniques and Applications in Medical Imaging: Second international MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers 1

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丛书名： Lecture Notes in Computer Science 7766

2013年

作者： Chen-Rui Chou, Stephen Pizer (auth.), Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi (eds.)

ISBN: (数字)9783642366208

ISBN: (纸本)9783642366192;9783642366208

this book constitutes the thoroughly refereed workshop proceedings of the Second international Workshop on Medical Computer Vision, MCV 2012, held in Nice, France, October 2012 in conjunction with the 15th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2012. the 24 papers have been selected out of 42 submissions. At MCV 2012, 12 papers were presented as a poster and 12 as a poster together with a plenary talk. the book also features four selected papers which were presented at the previous CVPR Medical Computer Vision workshop held in conjunction with the international conference on Computer Vision and pattern recognition on June 21 2012 in Providence, Rhode Island, USA. the papers explore the use of modern computer vision technology in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies, as well as 3D reconstruction and biophysical model personalization.

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Abstracting transport to an ontology design pattern for the geosciences 4

Abstracting transport to an ontology design pattern for the ...

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4th Workshop on Ontology and Semantic Web patterns, WOP 2013 - Co-located with 12th international Semantic Web conference, ISWC 2013

作者： Whitehead, Brandon Adams, Benjamin Schildhauer, Mark Vardeman, Charles Kuhn, Werner Shepard, Adam Sinha, Krishna Centre for eResearch University of Auckland New Zealand National Center for Ecological Analysis and Synthesis UCSB United States Center for Research Computing University of Notre Dame United States University of Münster Germany Woods Hole Oceanographic Institution United States Virginia Polytechnic Institute and State University United States

A core concept in geoscience/physical science research is the concept of transport. We present an ontology design pattern for the notion of transport in the geosciences using natural language coupled with a concept map. the top level concepts of the Transport pattern are trans- port entity, transport mechanism, and transport event. these concepts are described in detail, and a brief example is provided to illustrate the usefulness of the pattern. Copyright © 2013 for the individual papers by the papers' authors.

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moviQuest-MAS: An Intelligent Platform for Ubiquitous Social Networking Business

moviQuest-MAS: An Intelligent Platform for Ubiquitous Social...

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12th international conference on Artificial Intelligence and Soft computing, ICAISC 2013

作者： Soto, Ramon Soto, Alexandro Camalich, Juan Univ Sonora Dept Accounting Hermosillo Sonora Mexico Univ Sonora Dept Math Hermosillo Sonora Mexico SA CV Dept Engn moviQuest Hermosillo Sonora Mexico

ISBN: (纸本)9783642386091

New communications technologies have revolutionized human interaction. One of the main features of this new order is an explosion of relationships a person can establish and the issues that she can start. However, keeping control of the course of these relationships has become a very complex issue. this paper presents a generic platform for implementing social networks which aim to establish serious relationships between people based on their membership to affinity groups. the proposed social network platform uses an artificial intelligence approach which has been designated as Ubiquitous Artificial Intelligence. the basis of this approach is a multi-agent architecture that integrates a variety of pattern recognition algorithms to determine the profiles of social network use along with mobile expert systems that assist the user in their social network communication from the mobile. this approach also uses a specific ontology of the social network that simplifies communication and makes it safer.

关键词： Social networks Mobile computing Intelligent computing Multiagent technologies

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