作者：
Xuyang YuanAtsushi KuboYutaka SatouKenta NakaiInstitute for Bioinformatics Research and Development(BIRD)
Japan Science and Technology Agency(JST)Kawaguchi 332-0012Japan Department of Computer Science
Graduate School of Information Science and TechnologyUniversity of Tokyo7-3-1 HongoBunkyo-kuTokyo 113-8656Japan Human Genome Center
Institute of Medical ScienceUniversity of Tokyo4-6-1 ShirokanedaiMinato-kuTokyo108-8639Japan Human Genome Center
Institute of Medical ScienceUniversity of Tokyo4-6-1 ShirokanedaiMinato-kuTokyo108-8639Japan Department of ZoologyGraduate School of ScienceKyoto UniversityKitashirakawa-Oiwake-choSakyo-kuKyoto 606-8502Japan Department of Computer ScienceGraduate School of Information Science and TechnologyUniversity of Tokyo7-3-1 HongoBunkyo-kuTokyo 113-8656Japan
We present an approach to automatically recognize sign language and translate it into a spoken language. A system to address these tasks is created based on state-of-the-art techniques from statistical machine transla...
A virtual-reality real-time simulation of surgical operations that incorporates the inclusion of a hard tumour is presented. The software is based on Boundary Element (BE) technique. A review of the BE formulation for...
A virtual-reality real-time simulation of surgical operations that incorporates the inclusion of a hard tumour is presented. The software is based on Boundary Element (BE) technique. A review of the BE formulation for real-time analysis of two-domain deformable objects, using the pre-solution technique, is presented. The two-domain BE software is incorporated into a surgical simulation system called VIRS to simulate the initiation of a cut on the surface of the soft tissue and extending the cut deeper until the tumour is reached.
This paper presents a syntactic path-based learning algorithm (CANDI L from CANDIDATE-ELIMINATION) for the coreference resolution of pronouns that have their antecedents in the same sentence. Syntactic paths are treat...
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Knowing the degree of antonymy between words has widespread applications in natural language processing. Manually-created lexicons have limited coverage and do not include most semantically contrasting word pairs. We ...
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RWTH's system for the 2008 IWSLT evaluation consists of a combination of different phrase-based and hierarchical statistical machine translation systems. We participated in the translation tasks for the Chinese-to...
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We present a method to classify images into different categories of pornographic content to create a system for filtering pornographic images from network traffic. Although different systems for this application were ...
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Grouping by luminance and shape similarity has previously been demonstrated in neonates and at 4 months, respectively. By contrast, grouping by proximity has hitherto not been investigated in infancy. Th is is also th...
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Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind of corpora in order to develop novel...
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ISBN:
(纸本)9783540781349
Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind of corpora in order to develop novel techniques that may be used to improve results obtained by classical clustering algorithms. In this paper we are presenting an evaluation of different internal clustering validity measures in order to determine the possible correlation between these measures and that of the F-Measure, a well-known external clustering measure used to calculate the performance of clustering algorithms. We have used several short-text corpora, in the experiments carried out. The obtained correlation with a particular set of internal validity measures let us to conclude that some of them may be used to improve the performance of text clustering algorithms.
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