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ECCV
1994
Springer
14 years 17 days ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
ICRA
2006
IEEE
102views Robotics» more  ICRA 2006»
14 years 2 months ago
Fast Iterative Alignment of Pose Graphs with Poor Initial Estimates
— A robot exploring an environment can estimate its own motion and the relative positions of features in the environment. Simultaneous Localization and Mapping (SLAM) algorithms ...
Edwin Olson, John J. Leonard, Seth J. Teller
CORR
2008
Springer
165views Education» more  CORR 2008»
13 years 8 months ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
ESWS
2007
Springer
14 years 2 months ago
A Performance and Scalability Metric for Virtual RDF Graphs
Abstract. From a theoretical point of view, the Semantic Web is understood in terms of a stack with RDF being one of its layers. A Semantic Web application operates on the common d...
Michael Hausenblas, Wolfgang Slany, Danny Ayers
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
14 years 2 months ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...