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MICCAI
2007
Springer
14 years 9 months ago
Object Localization Based on Markov Random Fields and Symmetry Interest Points
We present an approach to detect anatomical structures by configurations of interest points, from a single example image. The representation of the configuration is based on Markov...
Branislav Micusík, Georg Langs, Horst Bisch...
ICML
1998
IEEE
14 years 9 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
ICIP
2007
IEEE
14 years 3 months ago
Classification by Cheeger Constant Regularization
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
Hsun-Hsien Chang, José M. F. Moura
ISM
2006
IEEE
93views Multimedia» more  ISM 2006»
14 years 2 months ago
Worst Case Attack on Quantization Based Data Hiding
Currently, most quantization based data hiding algorithms are built assuming specific distributions of attacks, such as additive white Gaussian noise (AWGN), uniform noise, and s...
Ning Liu, K. P. Subbalakshmi
ICCAD
1997
IEEE
101views Hardware» more  ICCAD 1997»
14 years 1 months ago
Minimum area retiming with equivalent initial states
Traditional minimum area retiming algorithms attempt to achieve their prescribed objective with no regard to maintaining the initial state of the system. This issue is important f...
Naresh Maheshwari, Sachin S. Sapatnekar