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» Geometric Clustering Using the Information Bottleneck Method
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92
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KES
2007
Springer
15 years 3 months ago
A Hierarchical Clustering Method for Semantic Knowledge Bases
Abstract. This work presents a clustering method which can be applied to relational knowledge bases. Namely, it can be used to discover interesting groupings of semantically annota...
Nicola Fanizzi, Claudia d'Amato
82
Voted
BMCBI
2004
96views more  BMCBI 2004»
14 years 9 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...
MICCAI
2004
Springer
15 years 3 months ago
Registration Using Segment Intensity Remapping and Mutual Information
A method for processing images prior to normalized mutual information based registration and an enhancement of the registration measure are presented. The method relies on k-means ...
Zeger F. Knops, J. B. Antoine Maintz, Max A. Vierg...
IROS
2006
IEEE
147views Robotics» more  IROS 2006»
15 years 3 months ago
Opportunistic Use of Vision to Push Back the Path-Planning Horizon
Abstract— Mobile robots need maps or other forms of geometric information about the environment to navigate. The mobility sensors (LADAR, stereo, etc.) on these robotic vehicles ...
Bart C. Nabbe, Derek Hoiem, Alexei A. Efros, Marti...
IS
2010
14 years 8 months ago
DB-SMoT: A direction-based spatio-temporal clustering method
—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed ...
Jose Antonio M. R. Rocha, Valéria Ces&aacut...