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ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 8 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
ML
2010
ACM
142views Machine Learning» more  ML 2010»
14 years 8 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
PAMI
2010
161views more  PAMI 2010»
14 years 8 months ago
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...
Samarjit Das, Namrata Vaswani
PAMI
2010
417views more  PAMI 2010»
14 years 8 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
PERCOM
2010
ACM
14 years 8 months ago
HERO: Hybrid Emergency Route-Opening Protocol
—This paper presents an ad-hoc vehicular protocol to support the logistics of first responders. First responders often travel several kilometers to reach an area impacted by an ...
Jonathan Woodbridge, Mars Lan, Giovanni Pau, Mario...
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