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BMVC
2010
13 years 9 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
CORR
2009
Springer
106views Education» more  CORR 2009»
13 years 8 months ago
A framework for protein and membrane interactions
dels at different abstraction levels; in particular, higher-level (e.g. membrane) activities can be given a formal biological justification in terms of low-level (i.e., protein) in...
Giorgio Bacci, Davide Grohmann, Marino Miculan
EKAW
2008
Springer
14 years 21 days ago
Learning Disjointness for Debugging Mappings between Lightweight Ontologies
Abstract. Dealing with heterogeneous ontologies by means of semantic mappings has become an important area of research and a number of systems for discovering mappings between onto...
Christian Meilicke, Johanna Völker, Heiner St...
SAMT
2009
Springer
176views Multimedia» more  SAMT 2009»
14 years 5 months ago
Shape-Based Autotagging of 3D Models for Retrieval
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
Ryutarou Ohbuchi, Shun Kawamura
NLPRS
2001
Springer
14 years 3 months ago
Integration of heterogeneous language resources: A monolingual dictionary and a thesaurus
Linguistic knowledge plays a crucial role in natural language processing. Constructing large linguistic knowledge bases requires a lot of human effort and much cost. There have b...
Takenobu Tokunaga, Yasuhiro Syotu, Hozumi Tanaka, ...