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TKDE
2010
224views more  TKDE 2010»
15 years 2 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
ECAI
2010
Springer
15 years 2 months ago
LTL Goal Specifications Revisited
The language of linear temporal logic (LTL) has been proposed as a formalism for specifying temporally extended goals and search control constraints in planning. However, the seman...
Andreas Bauer 0002, Patrik Haslum
ICIP
2010
IEEE
15 years 2 months ago
Exemplar-Based EM-like image denoising via manifold reconstruction
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
Xin Li
ISAAC
2010
Springer
308views Algorithms» more  ISAAC 2010»
15 years 2 months ago
Levelwise Mesh Sparsification for Shortest Path Queries
Shortest path query is a problem to answer the shortest path from the origin to the destination in short time. The network is fixed, and the goal of the study is to develop efficie...
Yuichiro Miyamoto, Takeaki Uno, Mikio Kubo
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 10 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen