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ICDE
2007
IEEE
109views Database» more  ICDE 2007»
16 years 8 months ago
Evaluating Proximity Relations Under Uncertainty
For location-based services it is often essential to efficiently process proximity relations among mobile objects, such as to establish whether a group of friends or family member...
Zhengdao Xu, Hans-Arno Jacobsen
ICPR
2006
IEEE
16 years 8 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...
ICML
2000
IEEE
16 years 7 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
ISBI
2006
IEEE
16 years 7 months ago
A statistical framework for DTI segmentation
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images (DTI). DTI can be estimated from a set of diffusion weighted images and...
Christophe Lenglet, Mikaël Rousson, Rachid De...
KDD
2003
ACM
124views Data Mining» more  KDD 2003»
16 years 7 months ago
Information-theoretic co-clustering
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...