[PDF] Top 20 Multilingual Document Mining and Navigation Using Self-Organizing Maps
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Multilingual Document Mining and Navigation Using Self-Organizing Maps
... directories and browse them until the goal pages were ...manually and may have disadvantages of narrow coverage and ...arrange multilingual Web pages into a multilingual Web directory ... See full document
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Multilingual document mining and navigation using self-organizing maps
... directories and browse them until the goal pages were ...manually and may have disadvantages of narrow coverage and ...arrange multilingual Web pages into a multilingual Web directory ... See full document
10
A Method for Multilingual Text Mining and Retrieval Using Growing Hierarchical Self-Organizing Maps
... meaning and are basic constituents of a ...Chinese and English text processing is the need for ...Chinese document C j is encoded into a vector C j in the same manner as ... See full document
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A Method for Multilingual Text Mining and Retrieval Using Growing Hierarchical Self-Organizing Maps
... E |. The processing of Chinese documents differs significantly from their English counterparts in several points. First, a Chinese sentence contains a list of consecutive Chinese letters. A Chinese letter, however, ... See full document
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A Method for Multilingual Text Mining and Retrieval Using Growing Hierarchical Self-Organizing Maps
... Received July 1, 2004 We propose a new way to record images in a photorefractive LiNbO 3 crystal. This method involves only a single object light without any reference light. We believe that the recording is attained by ... See full document
2
Multilingual Hierarchy Generation and Alignment Using Self-Organizing Maps
... need using non-native ...or multilingual information retrieval (MLIR) techniques were developed for ...queries and Web pages into the same language to perform ...queries and documents directly ... See full document
5
Automatic Construction of Multilingual Web Directory Using Self-Organizing Maps
... The segmentation of Chinese words is more difficult than English words because we have to separate these consecutive letters into a set of words. There are several segmentation schemes for Chinese words. We adopt the ... See full document
6
Semantic Matching and Annotation of Images by Self-Organizing Maps
... map and develop hierarchical structure dy- ...hierarchical and the size of each SOM are determined ...for document clustering and ...text mining that applies to ...GHSOM and ... See full document
8
Semantic Matching and Annotation of Images by Self-Organizing Maps
... stages and functional components of the pro- poses ...text mining scheme which could find implicit associations between images and ...as multilingual text mining, that require the ... See full document
13
Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps
... image and use it to retrieve relevant images. However, understanding and discovering the semantics of a piece of information are high-level cognitive tasks, and thus hard to ...image and limit ... See full document
7
Image Semantics Discovery from Web Pages for Semantic-Based Image Retrieval Using Self-Organizing Maps
... image and use it to retrieve relevant images. However, understanding and discovering the semantics of a piece of information are high-level cognitive tasks, and thus hard to ...image and limit ... See full document
14
Building Topic Maps Using a Text Mining Approach
... text mining. 3 The Text Mining Process Before we can create topic maps, we should first perform a text mining pro- cess on the set of information resources to reveal the relationships among the ... See full document
8
An Investigation of Research on Evolution of Altruism using Informetric Methods and the Growing Hierarchical Self-Organizing Map
... growing maps in the individual layers of the hierarchy, which facilitated navigation across ...areas and provided a more explicit illustration of the concepts within each subject ...neurosciences ... See full document
17
Multilingual Information Retrieval using GHSOM
... text mining method to ex- tract associations between multilingual texts and use them in multilingual information ...clustered and organized into hierarchies using growing ... See full document
4
Diagnosing reservoir water quality using self-organizing maps and fuzzy theory
... quality and a more continuous description of the eutrophication process, but several problems are inherent in this ...geographical and atmospheric factors influence eutrophication, causing the standards for ... See full document
10
Grey self-organizing feature maps
... the self-organizing feature maps (SOFM), the adjustable output nodes can be determined by the neighborhood size ofthe winning ...data and each adjustable output node, in the learning ...data ... See full document
15
Color image vector quantization using binary tree structured self-organizing feature maps
... In this pa- per, a binary tree structured Self-organizing Feature Map neural network is proposed to design the image vector codebook for quantizing color images.. Sim[r] ... See full document
5
Semantic Matching and Annotation of Images by Self-Organizing Maps
... proposed and developed to tackle this ...retrieval and content- based image retrieval. The former is simple and accurate, provided some annotations have been added to the ...annotated and ... See full document
1
EMG classification for prehensile postures using cascaded architecture of neural networks with self-organizing maps
... Although the concept of cascading a supervised neural network with an unsupervised neural network is not a new concept to reduce the training time of a supervised neural netwo[r] ... See full document
6
Model-Based Clustering by Probabilistic Self-Organizing Maps
... borhood, and then gradually reduce the neighborhood size until the learning converges to the desired ...When using a small neighborhood, SOEM is less sensitive to the initialization than ...SOCEM and ... See full document
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