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检索条件"任意字段=International Workshop on Intelligent Computer in Pattern Analysis/Synthesis"

共 294 条记录，以下是131-140 订阅

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Semantic analysis of User Behaviors for Detecting Spam Mail

Semantic Analysis of User Behaviors for Detecting Spam Mail

引用

IEEE international workshop on Semantic Computing and Applications, IWSCA

作者： Asung Han Hyun-Jun Kim Inay Ha Geun-Sik Jo Intelligent E-Commerce Systems Laboratory Inha University Incheon South Korea School of Computer Science & Engineering Inha University Incheon South Korea

According to continuous increasing of spam email, 92.6% of recent total email is known spam email. In this research, we will show an adaptive learning system that filter spam emails based on user's action pattern as time goes by. In this paper, we consider relationship between user's actions such as what action is took after one action and how long does it take. They analyze that each action has how much meaning, and that it has an effect on filtering spam emails. And that in turn determines weight for each email. In experimentation, we will compare results of system of this research and weighted Bayesian classifier using real email data set. Also, we will show how to handle personalization for concept drift and adaptive learning.

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Number Archetypes in System Realization Theory Concerning the Fine Structure Constant

Number Archetypes in System Realization Theory Concerning th...

引用

IEEE international Conference on intelligent Engineering Systems (INES)

作者： P. Varlaki L. Nadai J. Bokor Budapest University of Technology and Economics Széchenyi István University Budapest Hungary Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

In this paper we analyze in detail the central role of number '137', the so-called fine structure constant in the collaboration of Pauli and Jung. First, we present the fascination or the obsession of Pauli for the interpretation of number '137'. Second, we treat the spontaneous messages originating from unconscious concerning number '137' in the well-known dreams of Pauli. We restrict our investigations to the dreams containing the especially important formulae of fine structure constant (4pi 3 + pi 2 + pi), and also that containing the so-called background models of mathematical control systems. Third, we shortly mention four of the numerous synchronicities arising during the Pauli-Jung collaboration.

关键词： Collaboration Psychology pattern analysis Mathematical model Control system synthesis Synchronization Books Clocks Writing Automation

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GAIML: A new language for verbal and graphical interaction in chatbots

GAIML: A new language for verbal and graphical interaction i...

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2nd international Conference on Complex, intelligent and Software Intensive Systems (CISIS 2008)

作者： Roberto Pirrone Vincenzo Cannella Giuseppe Russo Universita degli Studi di Palermo Palermo Italy

One of the aims of the research in the field of the human-computer interaction is the design of a natural and intuitive interaction modalities. In particular, many efforts have been devoted in the development of systems able to interact with the user in natural language. Chatbots are the classical interfaces for natural language interaction. Such systems can be very sophisticated, including support for 3D avatars and speech analysis and synthesis. However, all of them present only a text area allowing the user to input her sentences. No doubt, an interaction involving also the natural language can increase the comfort of the userwith respect to common interfaces using only graphical widgets. However, multi-modal communication must be preferred in all those situations when the user and the system have a tight interaction. Typical examples are cultural heritages applications (intelligent museum guides, picture browsing) or systems presenting to the user an information integrated from different sources as in the case of the iGoogle (TM) interface. In this work we present the Graphical Artificial Intelligence Markup Language, an extension of AIML allowing merging of verbal and graphical interaction modalities. A chatbot system, Graphbot, is also presented that is able to support this language. The language is able to define personalized interface patterns that are the most suitable ones in relation to the type of data exchanged between the user and the system during the dialogue.

关键词： Finite element methods IP networks pattern matching Servers Natural languages Graphical user interfaces XML

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analysis and synthesis of music using semiotic intelligent system

Analysis and synthesis of music using semiotic intelligent s...

引用

4th IEEE international workshop on intelligent Data Acquisition and Advanced Computing Systems

作者： Molchanyuk, Yuriy Odessa Mechnikov Univ UA-65000 Odessa Ukraine

ISBN: (纸本)9781424413478

This paper presents one of the possible ways of computer music perception and synthesis using intelligent systems. Music pieces express emotions which are defined by certain musical features. The author suggests using the semiotic intelligent system to analyze the emotions in music, tag music pieces according to their emotional content, and also create new music pieces that express certain defined emotions.

关键词： computer music perception computer perception Data analysis intelligent information and retrieval systems

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Algorithm conception clarification based on the SH-model

Algorithm conception clarification based on the SH-model

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4th IEEE international workshop on intelligent Data Acquisition and Advanced Computing Systems

作者： Cherkaskyy, Mykola Sachenko, Anatoly Osolinskiy, Oleksandr Lviv Polytech Natl Univ Dept Comp Lvov Ukraine Ternopil Natl Econ Univ Res Inst Intelligent Comp Syst Ternopol Ukraine

The features of the algorithms abstract models are examined The necessity of "algorithm" concept clarification and its usage for the synthesis and analysis of computer systems is shown. The new SH-model of a... 详细信息

ISBN: (纸本)9781424413478

关键词： algorithm SH-model computer system complexity

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A novel distance measure for interval data

A novel distance measure for interval data

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7th international workshop on pattern Recognition in Information Systems PRIS 2007;In Conjunction with ICEIS 2007

作者： Ouyang, Jie Sethi, Ishwar K. Intelligent Information Engineering Lab Department of Computer Science and Engineering Oakland University Rochester MI 48309 United States

ISBN: (纸本)9789728865931

Interval data is attracting attention from the data analysis community due to its ability to describe complex concepts. Since clustering is an important data analysis tool, extending these techniques to interval data is important. Applying traditional clustering methods on interval data loses information inherited in this particular data type. This paper proposes a novel dissimilarity measure which explores the internal structure of intervals in a probabilistic manner based on domain knowledge. Our experiments show that interval clustering based on the proposed dissimilarity measure produces meaningful results.

关键词： Domain Knowledge

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Proceedings of the 5th international workshop on intelligent Solutions in Embedded System, Wises 07

Proceedings of the 5th International Workshop on Intelligent...

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5th international workshop on intelligent Solutions in Embedded Systems, WISES 07

ISBN: (纸本)9788489315471

The proceedings contain 23 papers. The topics discussed include: image processing performance analysis for low power wireless image sensors;spike processing on an embedded multi-task computer: image reconstruction;OSGi platform for UPnP audiovisual service delivery;a flexible virtual development environment for embedded systems;knowledge extraction from C-Code;towards a real-time systems compiler;physical modeling in SystemC-WMS and real time synthesis of electric guitar effects;Fixed Point library according to ISO/IEC Standard DTR 18037 for Atmel AVR Microcontrollers;virtualization of residential gateways;system-level middleware for embedded hardware and software communication;middleware for dynamic reconfiguration in distributed camera systems;and model-based development of Integrated computer systems: modeling the execution platform.

关键词： Embedded systems

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computer vision and pattern recognition in homeland security applications

Computer vision and pattern recognition in homeland security...

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7th international workshop on Fuzzy Logic and Applications

作者： Garibotto, Giovanni B. Elsag Spa Genoa Italy

ISBN: (纸本)9783540733997

The tutorial will summarize the status of research and innovation in the field of Security of computer Vision and pattern Recognition Technology. Two main research areas are considered: intelligent scene analysis in video-surveillance, and mobile Automatic Number Plate recognition ANPR, for investigation and crime prevention. The lecture will refer the most recent advances of mobile ANPR solutions on board of patrol car as well as portable hand-held devices to improve mobility and flexibility. From the patrol car it is possible to collect vehicle information within the traffic flow with a performance that far exceeds human detection and recognition capabilities in all weather conditions and 24 It operation. Such a solution is currently used by most advanced police departments in the world.

关键词： computer vision pattern recognition video surveillance & security applications

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pattern analysis and prediction of O-linked glycosylation sites in protein by principal component subspace analysis

Pattern analysis and prediction of <i>O</i>-linked glycosyla...

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11th international Conference on Knowledge-Based intelligent Informational and Engineering Systems/17th Italian workshop on Neural Networks

作者： Chen, Yen-Wei Yang, Xuemei Ito, Masahiro Nishikawa, Ikuko Cent S Univ Forestry & Technol Elect & Informat Engn Sch Changsha 410004 Peoples R China Ritsumeikan Univ Coll Informat Sci & Eng Shiga 5258577 Japan Xianyang Normal Univ Dept Math Xianyang 712000 Peoples R China

ISBN: (纸本)9783540748267

Glycosylation is one of the most important post-translation modifications steps in the synthesis of membrane and secreted proteins and more than half of all proteins are glycosylated. In this paper, we propose a principal component analysis (PCA) based subspace approach for pattern analysis and prediction of O-glycosylation sites in protein. PCA is used to find principal components and subspaces of glycosylated residues and nonglycoslylated residues, respectively. From the calculated principal compoents, we found that the glycosylted proteins all have a high serine, threonine and proline content. The prediction can be viewed as a 4-classes classification problem or 2-classes classification problems. We project the protein sequence (test vector) into each subspace and calculate the distance between the test vector and its projection on the subspace. The protein sequence can be classified into the "nearest" class. The prediction accuracy for nonglycosylated sites (negative sites) is about 70%-90%, and the accuracy for O-glycosylated sites (positive sites) is about 70%-100%.

关键词： protein O-linked glycosylation principal component analysis pattern analysis prediction

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Image mining using wavelet transform

Image mining using wavelet transform

引用

11th international Conference on Knowledge-Based intelligent Informational and Engineering Systems/17th Italian workshop on Neural Networks

作者： Gandhe, Sanjay T. Talele, K. T. Keskar, Avinash G. Visvesvaraya Natl Inst Technol Nagpur Maharashtra India S P Coll Engn Bombay Maharashtra India

ISBN: (纸本)9783540748175

In this paper, we propose an image mining using wavelet transform. It uses general pattern matching, pattern recognition and data mining concepts so that a real life scene/image can be related to a particular category, helping in different prediction and forecasting mechanisms. It is a three-step process i.e. image gathering, learning and classification. As wavelet transform uses time frequency relation, it can be used for image mining instead of Fourier transform. Wavelet transform is used to decompose an image into different frequency sub bands and a low frequency sub band is used for Principal Component analysis. Classification relates to identifying the category to which an image belongs. We have developed prototype system for recognition using DWT + PCA system. The concept of image mining thus can be efficiently used for weather forecasting so that we can know the natural disasters that may occur in advance.

关键词： image mining wavelet transform pattern recognition Eigen values data mining image learning and image classification

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