The proceedings contain 230 papers. The topics discussed include: WIPOMTS: an Internet public opinion monitoring system;social context enabled description model for web services;improved learning algorithm for self-ad...
ISBN:
(纸本)9783642340376
The proceedings contain 230 papers. The topics discussed include: WIPOMTS: an Internet public opinion monitoring system;social context enabled description model for web services;improved learning algorithm for self-adaptive neural nets based on principal component analysis;digital library network based on the san technology;research of a vertical search engine for campus network;efficient control scheme for surface temperature of hot roller based on neural network;adaptivity in location-based services;an evolution model of emotional Internet public opinion with informed marks;support vector machine classification algorithm and its application;a flatness patternrecognition model based on wavelet transform and probabilistic neural network;research on reduction algorithm based on variable precision rough set;and a modified group search optimizer algorithm for high dimensional function optimization.
Due to the lack of annotation of their large video archives, multimedia content provider companies and television channels do not use the data in their archives to their full extent. In order to contribute with a solu...
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Nowadays, Bayesian Networks (BNs) have constituted one of the most complete, self-sustained and coherent formalisms useful for knowledge acquisition, representation and application through computer systems. Yet, the l...
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Peer-to-peer (P2P) networking has introduced a major shift in the application and traffic mix of the Internet and established itself as the main driver of increasing traffic volume. The high requirements of some P2P a...
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A common characteristic of collecting the ground truth for medical images is that multiple experts provide only partially coherent manual segmentations, and in some cases, with varying confidence. As the result, there...
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Image annotation plays an important role in content-based image understanding, various machinelearning methods have been proposed to solve this problem. In this paper, label correlation is considered as an undirected...
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A mechanism for describing 3-D local geometries is presented which is suitable for input into a classifier generator. The objective is to predict the springback that will occur when Asymmetric Incremental Sheet Formin...
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Missing data methods, within the datamining context, are limited in computational complexity due to large data amounts. Amongst the computationally simple yet effective imputation methods are the hot deck procedures....
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An investigation into the extraction of useful information from the free text element of questionnaires, using a semi-automated summarisation extraction technique to generate text summarisation classifiers, is describ...
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Measuring inter-document similarity is one of the most essential steps in text document clustering. Traditional methods rely on representing text documents using the simple Bag-of-Words (BOW) model. A document is an o...
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