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ICPR
2008
IEEE
16 years 1 months ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
FPL
2005
Springer
112views Hardware» more  FPL 2005»
16 years 8 days ago
Hierarchical Placement for Large-scale FPAA
Abstract— Modern advances in reconfigurable analog technologies are allowing field-programmable analog arrays (FPAAs) to dramatically grow in size, flexibility, and usefulness...
I. Faik Baskaya, Sasank Reddy, Sung Kyu Lim, David...
ICDM
2007
IEEE
176views Data Mining» more  ICDM 2007»
15 years 10 months ago
A Compact Representation of Spatio-Temporal Data
As technology advances we encounter more available data on moving objects, which can be mined to our benefit. In order to efficiently mine this large amount of data we propose an ...
Sigal Elnekave, Mark Last, Oded Maimon
IDEAL
2000
Springer
15 years 10 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
CLEF
2010
Springer
15 years 7 months ago
TALP at WePS-3 2010
In this paper we present our system and experiments at the Third Web People Search Workshop (WePS-3) task for clustering web people search documents in English. In our experiments ...
Daniel Ferrés, Horacio Rodríguez