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15 years 10 months ago
On the Extraction of Curve Skeletons using Gradient Vector Flow
In this paper, we propose a new variational framework for computing continuous curve skeletons from discrete objects that are suitable for structural shape representation. We have...
M. Sabry Hassouna, Aly A. Farag
JDCTA
2008
160views more  JDCTA 2008»
13 years 8 months ago
Classification of IT Governance Tools for Selecting the Suitable One in an Enterprise
The Information Technology (IT) governance arrangements refer to the patterns of authority for key IT activities in organizations, including IT infrastructure, IT use, and project...
Fatemeh NasserEslami, Mehdi Fasanghari, H. R. Khod...
JMLR
2008
209views more  JMLR 2008»
13 years 8 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
JAIR
2006
160views more  JAIR 2006»
13 years 8 months ago
Anytime Point-Based Approximations for Large POMDPs
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
CSL
2007
Springer
13 years 8 months ago
Partially observable Markov decision processes for spoken dialog systems
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
Jason D. Williams, Steve Young