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» Incremental Algorithms for Approximate Compilation
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ICCV
2007
IEEE
14 years 11 months ago
Graph Based Discriminative Learning for Robust and Efficient Object Tracking
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 11 months ago
Increasing the Expressivity of Conditional Functional Dependencies without Extra Complexity
The paper proposes an extension of CFDs [1], referred to as extended Conditional Functional Dependencies (eCFDs). In contrast to CFDs, eCFDs specify patterns of semantically relate...
Loreto Bravo, Wenfei Fan, Floris Geerts, Shuai Ma
ECML
2005
Springer
14 years 3 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
3DIM
1997
IEEE
14 years 2 months ago
Multi-Resolution Geometric Fusion
Geometric fusion of multiple sets of overlapping surface measurements is an important problem for complete 3D object or environment modelling. Fusion based on a discrete implicit ...
Adrian Hilton, John Illingworth
CVPR
2005
IEEE
14 years 11 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman