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» Clarifying Goal Models
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ICPR
2002
IEEE
16 years 7 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
GIS
2005
ACM
16 years 7 months ago
Dimension-refined topological predicates
Topological predicates, as derived from the 9-intersection model, have been widely recognized in GIS, spatial database systems, and many other geo-related disciplines. They are ba...
Mark McKenney, Alejandro Pauly, Reasey Praing, Mar...
DAC
2000
ACM
16 years 7 months ago
Forensic engineering techniques for VLSI CAD tools
The proliferation of the Internet has a ected the business model of almost all semiconductor and VLSI CAD companies that rely on intellectual property (IP) as their main source of...
Darko Kirovski, David T. Liu, Jennifer L. Wong, Mi...
DAC
2002
ACM
16 years 7 months ago
Hole analysis for functional coverage data
One of the main goals of coverage tools is to provide the user with informative presentation of coverage information. Specifically, information on large, cohesive sets of uncovere...
Oded Lachish, Eitan Marcus, Shmuel Ur, Avi Ziv
ICML
2007
IEEE
16 years 7 months ago
The matrix stick-breaking process for flexible multi-task learning
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Ya Xue, David B. Dunson, Lawrence Carin