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ICIP
2003
IEEE
14 years 9 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
AAAI
2000
13 years 9 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
ECCV
2008
Springer
14 years 9 months ago
Continuous Energy Minimization Via Repeated Binary Fusion
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
MOC
2011
13 years 2 months ago
Analysis of HDG methods for Stokes flow
Abstract. In this paper, we analyze a hybridizable discontinuous Galerkin method for numerically solving the Stokes equations. The method uses polynomials of degree k for all the c...
Bernardo Cockburn, Jayadeep Gopalakrishnan, Ngoc C...
ICCV
2005
IEEE
14 years 9 months ago
Eliminating Structure and Intensity Misalignment in Image Stitching
The aim of this paper is to achieve seamless image stitching for eliminating obvious visual artifact caused by severe intensity discrepancy, image distortion and structure misalig...
Jiaya Jia, Chi-Keung Tang