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» Objective reduction using a feature selection technique
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124
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ETS
2010
IEEE
150views Hardware» more  ETS 2010»
15 years 4 months ago
Improving CNF representations in SAT-based ATPG for industrial circuits using BDDs
It was shown in the past that ATPG based on the Boolean Satisfiability problem is a beneficial complement to traditional ATPG techniques. Its advantages can be observed especially ...
Daniel Tille, Stephan Eggersglüß, Rene ...
153
Voted
PVLDB
2010
225views more  PVLDB 2010»
14 years 10 months ago
Efficient Processing of Top-k Spatial Preference Queries
Top-k spatial preference queries return a ranked set of the k best data objects based on the scores of feature objects in their spatial neighborhood. Despite the wide range of loc...
João B. Rocha-Junior, Akrivi Vlachou, Chris...
54
Voted
ICPR
2002
IEEE
16 years 4 months ago
To Each According to its Need: Kernel Class Specific Classifiers
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
Barbara Caputo, Heinrich Niemann
163
Voted
CVPR
2009
IEEE
1524views Computer Vision» more  CVPR 2009»
16 years 10 months ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal
156
Voted
ICCV
2009
IEEE
15 years 1 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...