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ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
15 years 5 months ago
Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
Salvatore Candido, James C. Davidson, Seth Hutchin...
MICCAI
2010
Springer
15 years 5 months ago
Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis
To regularize cardiac motion recovery from medical images, electromechanical models are increasingly popular for providing a priori physiological motion information. Although these...
Ken C. L. Wong, Florence Billet, Tommaso Mansi, Ra...
TMC
2010
109views more  TMC 2010»
15 years 5 months ago
Uncertainty Modeling and Reduction in MANETs
—Evaluating and quantifying trust stimulates collaboration in mobile ad hoc networks (MANETs). Many existing reputation systems sharply divide the trust value into right or wrong...
Feng Li, Jie Wu
ACL
2009
15 years 4 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
DSD
2009
IEEE
93views Hardware» more  DSD 2009»
15 years 4 months ago
Transactions Sequence Tracking by means of Dynamic Binary Instrumentation of TLM Models
Several traditional VHDL fault injection mechanisms like mutants or saboteurs have been adapted to SystemC model descriptions. The main drawback of these approaches is the necessi...
Antonio da Silva, Sebastian Sanchez