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» Reformulating Constraint Models Using Input Data
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ICRA
2003
IEEE
222views Robotics» more  ICRA 2003»
15 years 2 months ago
Path planning using learned constraints and preferences
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
Gregory Dudek, Saul Simhon
CP
2009
Springer
15 years 10 months ago
Constraint-Based Optimal Testing Using DNNF Graphs
The goal of testing is to distinguish between a number of hypotheses about a systemfor example, dierent diagnoses of faults by applying input patterns and verifying or falsifying t...
Anika Schumann, Martin Sachenbacher, Jinbo Huang
ET
2000
145views more  ET 2000»
14 years 9 months ago
Fast Test Pattern Generation for Sequential Circuits Using Decision Diagram Representations
The paper presents a novel hierarchical approach to test pattern generation for sequential circuits based on an input model of mixed-level decision diagrams. A method that handles,...
Jaan Raik, Raimund Ubar
AIPR
2001
IEEE
15 years 1 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
ICST
2008
IEEE
15 years 4 months ago
On Combining Multi-formalism Knowledge to Select Models for Model Transformation Testing
Testing remains a major challenge for model transformation development. Test models that are used as test data for model transformations, are constrained by various sources of kno...
Sagar Sen, Benoit Baudry, Jean-Marie Mottu