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JMLR
2008
83views more  JMLR 2008»
15 years 6 months ago
Generalization from Observed to Unobserved Features by Clustering
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
Eyal Krupka, Naftali Tishby
TIP
2008
84views more  TIP 2008»
15 years 6 months ago
Indexing of Satellite Images With Different Resolutions by Wavelet Features
As many users of imaging technologies, space agencies are rapidly building up massive image databases. A particularity of these databases is that they are made of images with diffe...
Bin Luo, Jean-François Aujol, Yann Gousseau...
JSS
2010
132views more  JSS 2010»
15 years 1 months ago
Formal specification of the variants and behavioural features of design patterns
The formal specification of design patterns is widely recognized as being vital to their effective and correct use in software development. It can clarify the concepts underlying ...
Ian Bayley, Hong Zhu
JMLR
2006
85views more  JMLR 2006»
15 years 6 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
194
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CVPR
2012
IEEE
13 years 9 months ago
Learning sparse covariance patterns for natural scenes
For scene classification, patch-level linear features do not always work as well as handcrafted features. In this paper, we present a new model to greatly improve the usefulness ...
Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David Wip...