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JUCS
2008
130views more  JUCS 2008»
13 years 9 months ago
Feature Selection for the Classification of Large Document Collections
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
IJCV
1998
105views more  IJCV 1998»
13 years 8 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
IPPS
1999
IEEE
14 years 1 months ago
Run-Time Selection of Block Size in Pipelined Parallel Programs
Parallelizing compiler technology has improved in recent years. One area in which compilers have made progress is in handling DOACROSS loops, where crossprocessor data dependencie...
David K. Lowenthal, Michael James
NIPS
1997
13 years 10 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
ICPR
2006
IEEE
14 years 10 months ago
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
Andreas Herzog, Bernd Michaelis, Gerald Krell, Kat...