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ASPDAC
2005
ACM
117views Hardware» more  ASPDAC 2005»
14 years 2 months ago
Dynamic symmetry-breaking for improved Boolean optimization
With impressive progress in Boolean Satisfiability (SAT) solving and several extensions to pseudo-Boolean (PB) constraints, many applications that use SAT, such as highperformanc...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
CVIU
2006
222views more  CVIU 2006»
13 years 8 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
COMPSAC
2002
IEEE
14 years 1 months ago
A Simple Mathematically Based Framework for Rule Extraction from an Arbitrary Programming Language
Programs use rules to dictate or constrain specific decisions or actions. These rules have typically been tested, revised, and updated continuously; therefore, they represent a su...
Frederick V. Ramsey, James J. Alpigini
BMCBI
2010
229views more  BMCBI 2010»
13 years 8 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
IJRR
2008
101views more  IJRR 2008»
13 years 8 months ago
Motion Planning Under Uncertainty for Image-guided Medical Needle Steering
We develop a new motion planning algorithm for a variant of a Dubins car with binary left/right steering and apply it to steerable needles, a new class of flexible beveltip medica...
Ron Alterovitz, Michael S. Branicky, Kenneth Y. Go...