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» A Data Locality Optimizing Algorithm
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APPT
2005
Springer
15 years 9 months ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
157
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UAI
2000
15 years 5 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
111
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CVPR
2006
IEEE
15 years 9 months ago
Real Time Localization and 3D Reconstruction
In this paper we describe a method that estimates the motion of a calibrated camera (settled on an experimental vehicle) and the tridimensional geometry of the environment. The on...
E. Mouragnon, Fabien Dekeyser, Patrick Sayd, Maxim...
AROBOTS
1998
104views more  AROBOTS 1998»
15 years 3 months ago
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots
This paper addresses the problem of building large-scale geometric maps of indoor environments with mobile robots. It poses the map building problem as a constrained, probabilistic...
Sebastian Thrun, Wolfram Burgard, Dieter Fox
140
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SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
16 years 28 days ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar