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UAI
1997
15 years 1 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
PAMI
1998
116views more  PAMI 1998»
14 years 11 months ago
Scale-Space Derived From B-Splines
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
Yu-Ping Wang, Seng Luan Lee
MOBIQUITOUS
2007
IEEE
15 years 6 months ago
Design and Evaluation of a Hybrid Physical Space Service for Pervasive Computing Applications
Abstract— In this paper we present the design and implementation of a space service that gives pervasive computing applications both a hierarchical and coordinate-based view of p...
Nancy Miller, Peter Steenkiste
HPDC
2006
IEEE
15 years 5 months ago
Path Grammar Guided Trace Compression and Trace Approximation
Trace-driven simulation is an important technique used in the evaluation of computer architecture innovations. However using it for studying parallel computers and applications is...
Xiaofeng Gao, Allan Snavely, Larry Carter
ICPR
2000
IEEE
16 years 24 days ago
Using Model-Based Localization with Active Navigation
Vision is an important sensor used for mobile robot navigation. One approach to localization which is based on vision is to compute camera egomotion with respect to base images. W...
Amit Adam, Ehud Rivlin, Ilan Shimshoni