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ACIVS
2009
Springer
14 years 2 months ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...
DAGM
1995
Springer
13 years 11 months ago
Learning Weights in Discrimination Functions Using a priori Constraints
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
Norbert Krüger
DAGSTUHL
2003
13 years 9 months ago
Traceability and Evaluation in Scenario Analysis by Use Case Maps
The Use Case Map (UCM) scenario notation has some strong features related to rapid capture and evaluation of requirements models. In this paper, we explain how a UCM model was deve...
Dorin Bogdan Petriu, Daniel Amyot, C. Murray Woods...
ICCV
2007
IEEE
14 years 9 months ago
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
François Le Clerc, Lionel Oisel, Patrick P&...
NETWORKING
2011
12 years 10 months ago
Modelling and Evaluation of CCN-Caching Trees
Networking Named Content (NNC) was recently proposed as a new networking paradigm to realise Content Centric Networks (CCNs). The new paradigm changes much about the current Intern...
Ioannis Psaras, Richard G. Clegg, Raul Landa, Wei ...