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» The Structure Function and Distinguishable Models of Data
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107
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CAV
2010
Springer
214views Hardware» more  CAV 2010»
15 years 6 months ago
Learning Component Interfaces with May and Must Abstractions
elor Thesis: Demand Driven Abstraction Refinement • Advisor: Dr. Andrey Rybalchenko Kendriya Vidyalaya ONGC, Dehradun, Uttaranchal INDIA All India Senior Secondary Examination, ...
Rishabh Singh, Dimitra Giannakopoulou, Corina S. P...
148
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CSL
2006
Springer
15 years 6 months ago
Separation Logic for Higher-Order Store
Separation Logic is a sub-structural logic that supports local reasoning for imperative programs. It is designed to elegantly describe sharing and aliasing properties of heap struc...
Bernhard Reus, Jan Schwinghammer
120
Voted
IJCAI
2007
15 years 4 months ago
Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
Shin-ichi Minato, Ken Satoh, Taisuke Sato
136
Voted
ICASSP
2010
IEEE
15 years 1 months ago
Optimization of a maximum entropy criterion for 2D Nuclear Magnetic Resonance reconstruction
This paper deals with the reconstruction of T1-T2 correlation spectra in Nuclear Magnetic Resonance (NMR) spectroscopy. The ill-posed character of this inverse problem and its lar...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
158
Voted
CVPR
2011
IEEE
14 years 8 months ago
Reduced Epipolar Cost for Accelerated Incremental SfM
We propose a reduced algebraic cost based on pairwise epipolar constraints for the iterative refinement of a multiple view 3D reconstruction. The aim is to accelerate the intermedi...
A. L. Rodriguez, P E. Lopez-de-Teruel, A. Ruiz