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» Selectivity Estimation using Probabilistic Models
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SAT
2009
Springer
91views Hardware» more  SAT 2009»
15 years 6 months ago
VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Eric I. Hsu, Sheila A. McIlraith
CORR
2010
Springer
149views Education» more  CORR 2010»
14 years 12 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan
AAAI
2008
15 years 2 months ago
Adaptive Control for Autonomous Underwater Vehicles
We describe a novel integration of Planning with Probabilistic State Estimation and Execution resulting in a unified representational and computational framework based on declarat...
Conor McGann, Frederic Py, Kanna Rajan, John Ryan,...
DEXAW
2009
IEEE
125views Database» more  DEXAW 2009»
15 years 6 months ago
Comparison Between Manually and Automatically Assigned Descriptors Based on a German Bibliographic Collection
—This paper compares and illustrates the use of manually and automatically assigned descriptors on German documents extracted from the GIRT Corpus. A second objective is to analy...
Claire Fautsch, Jacques Savoy
IBPRIA
2007
Springer
15 years 6 months ago
Estimation of Multiple Objects at Unknown Locations with Active Contours
Abstract. This paper presents an algorithm for the estimation of multiple regions with unknown shapes and positions using multiple active contour models (ACM’s). The algorithm or...
Margarida Silveira, Jorge S. Marques