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DOCENG
2007
ACM
15 years 10 months ago
Extracting reusable document components for variable data printing
Variable Data Printing (VDP) has brought new flexibility and dynamism to the printed page. Each printed instance of a specific class of document can now have different degrees of ...
Steven R. Bagley, David F. Brailsford, James A. Ol...
JUCS
2008
130views more  JUCS 2008»
15 years 6 months ago
Experimenting the Automated Selection of COTS Components Based on Cost and System Requirements
: In a component-based development process the selection of components is an activity that takes place over multiple lifecycle phases that span from requirement specifications thro...
Vittorio Cortellessa, Ivica Crnkovic, Fabrizio Mar...
ECCV
2008
Springer
16 years 8 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 6 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
16 years 6 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...