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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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Ontology-based design pattern recognition

引用

12th international conference on Knowledge-Based Intelligent Information and Engineering Systems

作者： Kirasic, Damir Basch, Danko Information Support Center University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation University of Zagreb Faculty of Electrical Engineering and Computing

ISBN: (纸本)9783540855620

this paper presents ontlology-based architecture for pattern recognition in the context of static source code analysis. the proposed system has three subsystems: parser, OWL ontologies and analyser. the parser subsystem translates the input coded to AST that is constructed as an XML tree. the OWL ontologies define code patterns and general programming concepts. the analyser subsystem constructs instances of the input code as ontology individuals and asks the reasoner to classify them. the experience gained in the implementation of the proposed system and some practical issues are discussed. the recognition system successfully integrates the knowledge representation field and static code analysis. resulting in greater flexibility of the recognition system.

关键词： knowledge-based system ontology-based system static code analysis description logics OWL application formal pattern definition

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E-service delivery pattern for knowledge discovery Grid

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12th international conference on Knowledge-Based Intelligent Information and Engineering Systems

作者： Liu, Meiqun Zhejiang Wanli Univ Ningbo 315100 Peoples R China

ISBN: (纸本)9783540855644

the emergence of ASP hosting Grid based data mining services is being seen as a novel and feasible solution for organizations that value their knowledge resources but are constrained by the high cost of knowledge discover tools. In this paper, we present a novel E-service delivery pattern for the Grid based data mining services. this pattern has several strong suits than the present methods for delivering data mining services such as supporting clients with many kinds of choices, especially the choice of the Asp. We have developed tools to support the E-service delivery pattern. the detailed information is including: the preferences of tasks, the functionality of ASP and the information of data resource and computation resources to run the application. We have realized the map function to match the requirement of client, the capability of resource and ASP.

关键词： Grid computing distributed computing data mining knowledge discovery in database Grid service

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Knowledge-Based Intelligent Information and Engineering Systems 2008

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丛书名： Lecture Notes in Computer Science

2008年

作者： Ignac Lovrek

ISBN: (数字)9783540855651

ISBN: (纸本)9783540855644

the three volume set LNAI 5177, LNAI 5178, and LNAI 5179, constitutes the refereed proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. the 316 revised papers presented were carefully reviewed and selected. the papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the second volume are artificial intelligence driven engineering design optimization; biomedical informatics: intelligent information management from nanomedicine to public health; communicative intelligence; computational intelligence for image processing and pattern recognition; computational intelligence in human cancer research; computational intelligence techniques for Web personalization; computational intelligent techniques for bioprocess modelling, monitoring and control; intelligent computing for Grid; intelligent security techniques; intelligent utilization of soft computing techniques; reasoning-based intelligent systems: relevant reasoning for discovery and prediction; spatio-temporal database concept support for organizing virtual earth; advanced knowledge-based systems; chance discovery; innovation-oriented knowledge management platform; knowledge-based creativity support systems; knowledge-based interface systems; knowledge-based multi-criteria decision support; and knowledge-based systems for e-business.

关键词： Electronic apparatus and appliances Automatic control Congresses. Artificial intelligence Congresses. Expert systems (Computer science) Congresses.

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n-grams of action primitives for recognizing human behavior

n-grams of action primitives for recognizing human behavior

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12th international conference on Computer Analysis of Images and patterns

作者： thurau, Christian Hlavac, Vaclav Czech Tech Univ Fac Elect Engn Dept Cybernet Ctr Machine Percept Prague 12135 2 Czech Republic

ISBN: (纸本)9783540742715

this paper presents a novel approach for behavior recognition from video data. A biologically inspired action representation is derived by applying a clustering algorithm to sequences of motion images. To obey the temporal context, we express behaviors as sequences of n-grams of basic actions. Novel video sequences are classified by comparing histograms of action n-grams to stored histograms of known behaviors. Experimental validation shows a high accuracy in behavior recognition.

关键词： Social sciences computing

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Customized message generation and speech synthesis in response to characteristic behavioral patterns of children

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12th international conference on Human-Computer Interaction (HCI international 2007)

作者： Lee, Ho-Joon Park, Jong C. CS Div KAIST 335 Gwahangno 373-1 Guseong dong Taejon 305701 South Korea

ISBN: (纸本)9783540731085

there is a growing need for a user-friendly human-computer interaction system that can respond to various characteristics of a user in terms of behavioral patterns, mental state, and personalities. In this paper, we present a system that generates appropriate natural language spoken messages with customization for user characteristics, taking into account the fact that human behavioral patterns usually reveal one's mental state or personality subconsciously. the system is targeted at handling various situations for five-year old kindergarteners by giving them caring words during their everyday lives. With the analysis of each case study, we provide a setting for a computational method to identify user behaviroal patterns. We believe that the proposed link between the behavioral patterns and the mental state of a human user can be applied to improve not only user interactivity but also believability of the system.

关键词： natural language processing customized message generation behavioral pattern recognition speech synthesis ubiquitous computing

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DLSITE-1: Lexical analysis for solving textual entailment recognition

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12th international conference on Applications of Natural Language to Information Systems, NLDB 2007

作者： Ferrández, Óscar Micol, Daniel Muñoz, Rafael Palomar, Manuel Natural Language Processing and Information Systems Group Department of Computing Languages and Systems University of Alicante San Vicente del Raspeig Alicante 03690 Spain

ISBN: (纸本)3540733507

this paper discusses the recognition of textual entailment in a text-hypothesis pair by applying a wide variety of lexical measures. We consider that the entailment phenomenon can be tackled from three general levels: lexical, syntactic and semantic. the main goals of this research are to deal with this phenomenon from a lexical point of view, and achieve high results considering only such kind of knowledge. To accomplish this, the information provided by the lexical measures is used as a set of features for a Support Vector Machine which will decide if the entailment relation is produced. A study of the most relevant features and a comparison with the best state-of-the-art textual entailment systems is exposed throughout the paper. Finally, the system has been evaluated using the Second PASCAL Recognising Textual Entailment Challenge data and evaluation methodology, obtaining an accuracy rate of 61.88%. © Springer-Verlag Berlin Heidelberg 2007.

关键词： pattern recognition

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Sparse multinomial logistic regression via Bayesian L1 regularisation 19

引用

20th Annual conference on Neural Information Processing Systems, NIPS 2006

作者： Cawley, Gavin C. Talbot, Nicola L.C. Girolami, Mark School of Computing Sciences University of East Anglia Norwich Norfolk NR4 7TJ United Kingdom Department of Computing Science University of Glasgow Glasgow G12 8QQ United Kingdom

ISBN: (纸本)9780262195683

Multinomial logistic regression provides the standard penalised maximumlikelihood solution to multi-class pattern recognition problems. More recently, the development of sparse multinomial logistic regression models has found application in text processing and microarray classification, where explicit identification of the most informative features is of value. In this paper, we propose a sparse multinomial logistic regression method, in which the sparsity arises from the use of a Laplace prior, but where the usual regularisation parameter is integrated out analytically. Evaluation over a range of benchmark datasets reveals this approach results in similar generalisation performance to that obtained using cross-validation, but at greatly reduced computational expense.

关键词： Logistic regression

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Matching 3D models with Global Geometric Feature Map

Matching 3D models with Global Geometric Feature Map

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12th international Multi-Media Modelling conference

作者： Wang, Donghui Cui, Chenyang Wu, Zheng College of Computer Science Zhejiang University China Institute of Image and Graphics China Academy of Art China

ISBN: (纸本)1424400287

Measuring the similarity between 3D models is a fundamental task in 3D inodels retrieval. In this paper, we propose a new method based on Global Geometric Feature Map (GGFM) to represent arbitrary polygonal 3D models. Since 3D polygonal model can be expressed as a set of facets, the GGFM contrast constitute a spherical histogram about the normal orientation and area and position of every facet on the surface of the model. By computing the spherical correlation between the GGFMs of the matched models, similarity of two models can be obtained. Experimental results show that the proposed method performs well in 3D model similarity matching and is invariant to the translation and rotation and scaling of 3D model. Comparing to the existing methods, this method is fast and needs low computation and storage cost since each facet of the model needs to be computed only once in GGFM.

关键词： pattern matching

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Mining progressive confident rules 06

Mining progressive confident rules

引用

KDD 2006: 12th ACM SIGKDD international conference on Knowledge Discovery and Data Mining

作者： Zhang, Minghua Hsu, Wynne Lee, Mong Li School of Computing National University of Singapore Singapore 117543 Singapore

ISBN: (纸本)1595933395

Many real world objects have states that change over time. By tracking the state sequences of these objects, we can study their behavior and take preventive measures before they reach some undesirable states. In this paper, we propose a new kind of pattern called progressive confident rules to describe sequences of states with an increasing confidence that lead to a particular end state. We give a formal definition of progressive confident rules and their concise set. We devise pruning strategies to reduce the enormous search space. Experiment result shows that the proposed algorithm is efficient and scalable. We also demonstrate the application of progressive confident rules in classification. Copyright 2006 ACM.

关键词： Data mining

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Finding patterns with variable length gaps or don't cares

引用

12th Annual international computing and Combinatorics conference

作者： Rahman, M. Sohel Iliopoulos, Costas S. Lee, Inbok Mohamed, Manal Smyth, William F. Kings Coll London Dept Comp Sci Algorithm Design Grp London WC2R 2LS England Seoul Natl Univ Sch Comp Sci & Engn Seoul South Korea McMaster Univ Dept Comp Sci Algorithms Res Grp Hamilton ON L8S 4L8 Canada

ISBN: (纸本)3540369252

In this paper we have presented new algorithms to handle the pattern matching problem where the pattern can contain variable length gaps. Given a pattern P with variable length gaps and a text T our algorithm works in O(n+m+alpha log(max(1 <=i <=l)(b(i)-ai))) time where n is the length of the text, m is the summation of the lengths of the component subpatterns, alpha is the total number of occurrences of the component subpatterns in the text and a(i) and b(i) are, respectively, the minimum and maximum number of don't cares allowed between the ith and (i+1)st component of the pattern. We also present another algorithm which, given a suffix array of the text, can report whether P occurs in T in O(m+alpha log log n) time. Both the algorithms record information to report all the occurrences of Pin T. Furthermore, the techniques used in our algorithms are shown to be useful in many other contexts.

关键词： pattern matching

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