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» Algorithms for Propositional Model Counting
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NIPS
2003
14 years 10 months ago
An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science
Despite the popularity of connectionist models in cognitive science, their performance can often be difficult to evaluate. Inspired by the geometric approach to statistical model ...
Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Ja...
HYBRID
2003
Springer
15 years 2 months ago
Model Checking LTL over Controllable Linear Systems Is Decidable
Abstract. The use of algorithmic verification and synthesis tools for hybrid systems is currently limited to systems exhibiting simple continuous dynamics such as timed automata o...
Paulo Tabuada, George J. Pappas
ICPR
2000
IEEE
15 years 10 months ago
Fast and Accurate Motion Estimation Using Orientation Tensors and Parametric Motion Models
Motion estimation in image sequences is an important step in many computer vision and image processing applications. Several methods for solving this problem have been proposed, b...
Gunnar Farnebäck
ISBI
2004
IEEE
15 years 10 months ago
A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data
We present a fully four-dimensional, globally convergent, incremental gradient algorithm to estimate the continuous-time tracer density from list mode positron emission tomography...
Quanzheng Li, Evren Asma, Richard M. Leahy
AIPS
2008
14 years 11 months ago
Efficient ADD Operations for Point-Based Algorithms
During the past few years, point-based POMDP solvers have gradually scaled up to handle medium sized domains through better selection of the set of points and efficient backup met...
Guy Shani, Pascal Poupart, Ronen I. Brafman, Solom...