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NIPS
2003
13 years 11 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
SPLST
2003
13 years 11 months ago
Compacting XML Documents
Abstract. Nowadays one of the most common formats for storing information is XML. The size of XML documents can be rather large, and they may contain redundant attributes which can...
Miklós Kálmán, Ferenc Havasi,...
DS
1997
117views Database» more  DS 1997»
13 years 11 months ago
Experience with a Combined Approach to Attribute-Matching Across Heterogeneous Databases
Determining attribute correspondences is a difficult, time-consuming, knowledge-intensive part of database integration. We report on experiences with tools that identified candi...
Chris Clifton, E. Housman, Arnon Rosenthal
MVA
2000
282views Computer Vision» more  MVA 2000»
13 years 11 months ago
Real Time Vision Based Road Lane Detection and Tracking
Taking into account these various remarks, our method is composed of four modules: In this article, we describe a new method deA recognition phase allows to accurately detersigned ...
Romuald Aufrère, Roland Chapuis, Frederic C...
SPLC
2000
13 years 11 months ago
Development/maintenance/reuse: software evolution in product lines
The evolution tree model is a two-dimensional model that describes how the versions of the artifacts of a software product evolve. The propagation graph is a data structure that c...
Stephen R. Schach, Amir Tomer
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