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» An Algorithm for Knowledge Base Extraction
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CVPR
2005
IEEE
16 years 8 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
15 years 8 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
ICCAD
2003
IEEE
193views Hardware» more  ICCAD 2003»
15 years 12 months ago
FROSTY: A Fast Hierarchy Extractor for Industrial CMOS Circuits
: This paper presents FROSTY, a computer program for automatically extracting the hierarchy of a large-scale digital CMOS circuit from its transistor-level netlist description and ...
Lei Yang, C.-J. Richard Shi
AAAI
1994
15 years 8 months ago
Inductive Learning For Abductive Diagnosis
A new inductive learning system, Lab Learning for ABduction, is presented which acquires abductive rules from a set of training examples. The goal is to nd a small knowledge base ...
Cynthia A. Thompson, Raymond J. Mooney
IJCAI
2003
15 years 8 months ago
Non-Standard Reasoning Services for the Debugging of Description Logic Terminologies
Current Description Logic reasoning systems provide only limited support for debugging logically erroneous knowledge bases. In this paper we propose new non-standard reasoning ser...
Stefan Schlobach, Ronald Cornet