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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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CVPR
2012
IEEE
11 years 9 months ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth
CVPR
2012
IEEE
11 years 9 months ago
Meta-class features for large-scale object categorization on a budget
In this paper we introduce a novel image descriptor enabling accurate object categorization even with linear models. Akin to the popular attribute descriptors, our feature vector ...
Alessandro Bergamo, Lorenzo Torresani
CVPR
2012
IEEE
11 years 9 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
SAC
2010
ACM
13 years 5 months ago
A formal approach to reuse successful traceability practices in SPL projects
Software Product Line (SPL) Engineering has to deal with interrelated, complex models such as feature and architecture models, hence traceability is fundamental to keep them consi...
Angelina Espinoza, Goetz Botterweck, Juan Garbajos...
TKDE
2012
192views Formal Methods» more  TKDE 2012»
11 years 9 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu