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» Learning Classifiers from Semantically Heterogeneous Data
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KDD
2002
ACM
186views Data Mining» more  KDD 2002»
14 years 10 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
IJRR
2010
173views more  IJRR 2010»
13 years 4 months ago
Multi-modal Semantic Place Classification
The ability to represent knowledge about space and its position therein is crucial for a mobile robot. To this end, topological and semantic descriptions are gaining popularity fo...
Andrzej Pronobis, Óscar Martínez Moz...
SEMWEB
2010
Springer
13 years 7 months ago
Semantic Techniques for Enabling Knowledge Reuse in Conceptual Modelling
Abstract. Conceptual modelling tools allow users to construct formal representations of their conceptualisations. These models are typically developed in isolation, unrelated to ot...
Jorge Gracia del Río, Jochem Liem, Esther L...
ICPP
2008
IEEE
14 years 4 months ago
Parallelization and Characterization of Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Chuntao Hong, Wenguang Chen, Weimin Zheng, Jiulong...
ICCV
2009
IEEE
15 years 2 months ago
Decomposing a Scene into Geometric and Semantically Consistent Regions
High-level, or holistic, scene understanding involves reasoning about objects, regions, and the 3D relationships between them. This requires a representation above the level of ...
Stephen Gould, Richard Fulton, Daphne Koller