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» Reformulating Constraint Models Using Input Data
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ICRA
2003
IEEE
222views Robotics» more  ICRA 2003»
15 years 4 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 11 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 11 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 2 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 5 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