the proceedings contain 71 papers. the topics discussed include: soft computing algorithms applied to the segmentation of nerve cell images;patternrecognition based on time-frequency distributions of radar micro-Dopp...
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ISBN:
(纸本)0769522947
the proceedings contain 71 papers. the topics discussed include: soft computing algorithms applied to the segmentation of nerve cell images;patternrecognition based on time-frequency distributions of radar micro-Doppler dynamics;a quantitative software quality evaluation model for the artifacts of component based development;a new approach to software requirements elicitation;using datamining technology to design an intelligent CIM system for IC manufacturing;datamining for imprecise temporal associations;analysis of breast cancer using datamining and statistical techniques;analyzing the conditions of coupling existence based on program slicing and some abstract information-flow;a study of model layers and reflection;a general scalable implementation of fast matrix multiplication algorithms on distributed memory computers;error prediction for multi-classification;an integer support vector machine;and layered neural networks computations.
Feature selection method for text classification based on information gain ranking, improved by removing redundant terms using mutual information measure and inclusion index, is proposed. We report an experiment to st...
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It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A possible approach to cope withthat fact...
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ISBN:
(纸本)354026972X
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A possible approach to cope withthat fact is to get a whole view of the image(object). then using machinelearning approach from user's Relevance feedback to obtain a reduced feature. In this paper, we concentrate on some points about Biased Discriminant Analysis / Kernel Biased Discriminant Analysis (BDA/KBDA) based machinelearning approach for CBIR. the contributions of this paper are: 1. using generalized singular value decomposition (GSVD) based approach solve the small sample size problem in BDA/KBDA and 2. using histogram intersection as a kernel for KBDA. Experiments show that this kind of kernel gets improvement compare to other common kernels.
this paper uses a set of 3D geometric measures withthe purpose of characterizing lung nodules as malignant or benign. Based on a sample of 36 nodules, 29 benign and 7 malignant, these measures are analyzed with a tec...
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Recently applying artificial intelligence, machinelearning and datamining techniques to intrusion detection system are increasing. But most of researches are focused on improving the performance of classifier. Selec...
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the real transactional databases often exhibit temporal characteristic and time varying behavior. Temporal association rule has thus become an active area of research. A calendar unit such as months and days, clock un...
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We introduce an algorithm for mining expressive temporal relationships from complex data. Our algorithm, AprioriSetsAndSequences (ASAS), extends the Apriori algorithm to data sets in which a single data instance may c...
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When we mine information for knowledge on a whole data streams it's necessary to cope with uncertainty as only a part of the stream is available. We introduce a stastistical technique, independant from the used al...
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Enterprise software venders often have to release software products before all reported defects are corrected, and a small number of these reported defects will be escalated by customers whose businesses are seriously...
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the proceedings contain 53 papers. the topics discussed include: a multi-agent system to stream multimedia to handheld devices;mixed heuristic algorithm for intelligent string matching for information retrieval;applyi...
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ISBN:
(纸本)0769523587
the proceedings contain 53 papers. the topics discussed include: a multi-agent system to stream multimedia to handheld devices;mixed heuristic algorithm for intelligent string matching for information retrieval;applying text mining and machinelearning techniques to gene clusters analysis;digital modulation identification by wavelet analysis;a neural network prediction model for a psychiatric application;universal communication formal for multimedia data;artificial neural network based automatic cardiac abnormalities classification;fuzzy image processing in quality control application;fuzzy control design tool to apply in FC teaching models;VirtuaLatin - towards a musical multi-agent system;and genetically evolving higher order neural networks by direct encoding method.
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