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6th international conference on Computational Science (ICCS 2006)

作者： He, Jing Yue, Wuyi Shi, Yong Konan Univ Inst Intelligent Informat & Commun Technol Kobe Hyogo 6588501 Japan Konan Univ Dept Informat Sci & Syst Engn Kobe Hyogo 6588501 Japan Chinese Acad Sci Res Ctr Data Technol & Knowledge Econ Beijing 100080 Peoples R China

ISBN: (纸本)3540343857

this paper presents a data mining system of performance evaluation for multimedia communication networks (MCNs). Two important performance evaluation problems for the MCNs are considered in this paper. they are: (1) the optimization problem for construction of the data mining system of performance evaluation;(2) the problem of categorizing real-time data corresponding to the data mining system by means of dividing the performance data into usual and unusual categories. An algorithm is employed to identify performance data such as throughput capacity, package forwarding rate, and response time. A software named PEDM2.0 (Performance Evaluation Data Miner) is proposed to improve the accuracy and the effectiveness of the fuzzy linear programming (FLP) method compared with decision tree, neural network, and multiple criteria linear programming methods.

关键词： pattern recognition

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Finding Sequential patterns from Massive Number of Spatio-Temporal Events

Finding Sequential Patterns from Massive Number of Spatio-Te...

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6th SIAM international conference on Data Mining

作者： Huang, Yan Zhang, Liqin Zhang, Pusheng Univ N Texas Denton TX 76203 USA Univ Minnesota Minneapolis MN 55455 USA

ISBN: (纸本)9780898716115

Given a large spatio-temporal database of events, where each event consists of the following fields: event-ID, time, location, event-type, mining spatio-temporal sequential patterns is to identify significant event type sequences. Such spatio-temporal sequential patterns are crucial to investigate spatial and temporal evolutions of phenomena in many application domains. In this paper, we propose a sequence index as the significance measure for spatio-temporal sequential patterns, which is meaningful due to its interpretability using spatial statistics. We propose two algorithms, namely STS-Miner and Slicing-STS-Miner, to tackle the algorithmic design challenges under the spatial sequence index which does not preserve the downward closure property. We evaluate the algorithms by experimentally conducting performance evaluations using both synthetic and real world datasets.

关键词： pattern recognition

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Proceedings - 5th international conference on Machine Learning and Applications, ICMLA 2006

Proceedings - 5th International Conference on Machine Learni...

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6th international conference on Hybrid Intelligent Systems and 4th conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006

ISBN: (纸本)0769526624

the proceedings contain 68 papers. the topics discussed include: a comparative analysis of data distribution methods in an agent-based neural system for classification tasks;stochastic differential portfolio games with regime switching model;extracting symbolic rules from clustering of gene expression data;a novel microarray gene selection method based on consistency;combining greedy method and genetic algorithm to identify transcription factor binding sites;investigation of a new artificial immune system model applied to pattern recognition;RLM: a new method of encoding weights in DNA strands;shape representation and distance measure based on retational graph;fast modeling of curved object from two images;research on an improved gray gradient orientation algorithm in anisotropic high-pass filtering;and image color reduction based on self-organizing maps and growing self-organizing neural networks.

关键词： Learning systems

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An implementation of real time-sentential KSSL recognition system based on the post wearable PC

An implementation of real time-sentential KSSL recognition s...

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6th international conference on Computational Science (ICCS 2006)

作者： Kim, Jung-Hyun Roh, Yong-Wan Hong, Kwang-Seok Sungkyunkwan Univ Sch Informat & Commun Engn Suwon 440746 KyungKi Do South Korea

ISBN: (纸本)3540343857

Korean Standard Sign Language (hereinafter, "KSSL") is a complex visual-spatial language that is used by the deaf community in the South Korea. Wire communications net and desktop PC-based a traditional study on sign language linguistics with small vocabulary (words) have several restrictions (e.g. limitation of the motion, conditionality in the space) and general problems (e.g. inaccuracy in measuring, necessity of complex computation algorithm) according to using of vision technologies with image capture and video processing system as input module of sign language signals. Consequently, in this paper we propose and implement ubiquitous-oriented wearable PC-based sentential KSSL recognizer that improve efficiency of KSSL input module according to wireless sensor network, recognizes and represents continuous KSSL with flexibility in real time, and analyze and notify definite intention of user more efficiently through correct measurement of KSSL gestures using wireless haptic devices. the experimental result shows an average recognition rate of 93.7% for continuous 44 KSSL sentences.

关键词： pattern recognition

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Myofunctional evaluation after surgery for tonsils hypertrophy and its correlation to breathing pattern: A 2-year-follow up

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international JOURNAL OF PEDIATRIC OTORHINOLARYNGOLOGY 2006年第2期70卷 221-225页

作者： Valera, FCP Trawitzki, LVV Anselmo-Lima, WT Univ Sao Paulo Fac Med Ribeirao Preto Dept Ophthalmol Othorhinolaryngol & Head & Neck S BR-14096900 Ribeirao Preto SP Brazil

Objectives: To evaluate the myofunctional status in children submitted to adenoidectomy or adenotonsillectomy, correlating the pre and post-surgical patterns throughout a 24-month-period. To correlate the myofunctional alterations to the sort of surgery performed (adenoidectomy versus adenotonsillectomy) and to the predominant post-surgical breathing pattern (predominantly nasal versus allergic rhinitis). Methods: Forty children were assessed by the otorhinolaryngologist and speech therapist before and 1-24 months after surgery. In order to evaluate myofunctional status, a pre-structured protocol was designed, which included observations regarding facial posture, tonicity, mastication, deglutition and respiration. A score from 0 (normal pattern) to 12 (highly altered) was set. Results: there was a partial, but progressive decrease of the score after surgery (p < 0.001). this decrease was markedly observed during the first 6 months following surgical procedure (p < 0.001), after which it was no longer significant. there was no correlation between the myofunctional progress and the sort of surgery performed. the myofunctional improvement was more accentuated in nasal breathers when compared to those with allergic rhinitis. Conclusions: Improvement of myofunctional status seems to be observed in children after surgery. In this study, the improvement was predominantly accomplished during the first 6 months following surgical, procedure. Persistent pattern of mouth breathing due to allergic rhinitis may difficult recovery of the myofunctional status. the most adequate post-surgical moment for the otorhinolaryngologist to refer the patient to speech therapist for myofunctional therapy seems to be crucial, as well as the recognition by the speech therapist of the persistence of the obstructive symptoms, re-referring this patient to the physician. (c) 2005 Elsevier Ireland Ltd. All rights reserved.

关键词： myofunctional evaluation mouth breathing tonsil hypertrophy post-operative respiratory pattern

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An ontological service oriented and web searching mechanism in distributed e-learning repositories

An ontological service oriented and web searching mechanism ...

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6th international conference on Advanced Learning Technologies, ICALT 2006

作者： Votis, Konstantinos Alexakos, Christos Giotopoulos, Kostas Likothanassis, Spiridon Pattern Recognition Lab. Dept. of Computer Engineering and Informatics University of Patras Greece

ISBN: (纸本)0769526322

the great heterogeneity of web based Learning systems storing and providing digital e-learning data requires the introduction of interoperability aspects in order to resolve integration problems in a flexible and dynamic way. Learning Objects developed and stored in many different places on the web have a tremendous potential to benefit e-learning in particular and education in general. So the distributed e-learning data integration is significant for the enforcement of novel searching mechanisms in distributed e-learning repositories Our approach introduces an advanced search mechanism which initializes a semantic model representing the digital content stored in distributed e-learning servers, through the use of ontologies In order to retrieve useful content to be added to the learning environment while bypassing compatibility problems between different ontological representations of the same domain, we will use a mixed approach constituting both keywords and ontologies Searching tasks are carried out in the metadata level, where information concerning web digital content is published, managed and stored in the form of a scalable description of knowledge domains. © 2006 IEEE.

关键词： Ontology

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Segmentation, Memorization, recognition and Abstraction of Humanoid Motions Based on Correlations and Associative Memory

Segmentation, Memorization, Recognition and Abstraction of H...

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IEEE-RAS international conference on Humanoid Robots

作者： Hideki Kadone Yoshihiko Nakamura Department of Mechano-Informatics Graduate School of Information Science and Technology University of Tokyo Tokyo Japan

ISBN: (纸本)1424401992;142440200X

In order to self-organize symbols from observed motion patterns, it is necessary to temporally segment the continuous motion pattern flows into meaningful chunks. For reusability of the acquired information, repeatedly observed patterns are important, which means that segmentation, memorization, recognition and abstraction depend on each other. From this point of view, we propose methods for motion patterns of humanoid robots observed as a continuous flow using pattern correlations and associative memory. Initially, patterns are segmented by pattern correlations and then stored into the associative memory. Afterwards, only new kinds of motions are fed through this process. Associative memory is capable of segmentation, recognition and abstraction, and has ease in incremental update of the stroge for new patterns

关键词： Associative memory pattern recognition Humanoid robots Information science Intelligent systems Data mining Frequency Motion control pattern matching Neural networks

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Protein Fold recognition using a Structural Hidden Markov Model

Protein Fold Recognition using a Structural Hidden Markov Mo...

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international conference on pattern recognition

作者： D. Bouchaffra J. Tan Department of Computer Science & Engineering Oakland University Rochester MI USA

Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this paper a machine learning paradigm that we entitled "structural hidden Markov model" (SHMM). We show how the concept of SHMM can efficiently use the protein secondary structure during the fold recognition task. Experimental results showed that the SHMM outperforms the SVM with a 6% improvement in the average accuracy. However, because in this application the two classifiers are not correlated, therefore their combination based on the highest rank criterion boosted the SHMM average accuracy with 10%

关键词： Hidden Markov models Amino acids Protein engineering Genomics bioinformatics Biology computing Support vector machines Support vector machine classification Computer science USA Councils

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patterns of Co-Linear Equidistant Letter Sequences and Verses

Patterns of Co-Linear Equidistant Letter Sequences and Verse...

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international conference on pattern recognition

作者： N. Bombach H. Gans Economist Certified Public Accountant Ramat-Gan Israel U.S. Department of Defense Senior Cryptologic Mathematician (retired) MD USA

It has been shown (Feller, 1966) that equidistant letter sequence (ELS) pairs in the book of Genesis (G) form more compact geometric patterns on the surface of a cylinder than is expected at random. this phenomenon has been demonstrated in G for specific lists of biographical data. We extend these results and show that: 1) the compactness phenomenon holds for triplets of elements where two elements are words, taken from a lexicon derived from all the words in the Pentateuch, which form co-linear ELSs, and the third element is a verse in the text that contains two words with the same meanings as the first two elements respectively. 2) this phenomenon manifests itself in the entire Hebrew Pentateuch. the p-level obtained for this experiment is 6 times 10 -8

关键词： Gallium nitride Books bioinformatics Cryptography Testing pattern recognition

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Conversation Robot with the Function of Gaze recognition

Conversation Robot with the Function of Gaze Recognition

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IEEE-RAS international conference on Humanoid Robots

作者： Shinya Fujie Toshihiko Yamahata Tetsunori Kobayashi Advanced Research Institute for Science and Engineering Waseda University Tokyo Japan School of Science and Engineering Waseda University Tokyo Japan

ISBN: (纸本)1424401992

Gaze recognition for conversation robot is realized and its effectiveness is confirmed. In human conversation, in addition to speech information, visual information plays important role. Particularly, gaze direction is a very useful prompt for turn-taking. In the case that the speaker finish his utterance, for example, if he looks at the listener, then he expect the listener to speak. On the other hand, if the speaker does not look at the listener, he tries to keep his turn. Most conventional spoken dialogue systems detect the finish of user's turn only by speech recognition. these systems cannot understand the user tries to keep his turn, and they wrongly begin the utterance and block the user's remaining utterance. In this study, we implement the gaze recognition using the user's image captured by the camera mounted on the eye of the robot and apply the recognition results to decide who should speak next. For gaze recognition, we introduce the sub-image of user's eye region extracted with the active appearance model as the feature. recognition with subspace method using this feature achieved 70% in recognition rate. Finally, the effectiveness of the gaze recognition is confirmed through the subjective experiment. the experiment is performed by the actual conversation between the conversation robot and the subject.

关键词： Robots Speech recognition Image recognition Target recognition Humans Image converters Data mining Iris pattern recognition Control systems

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