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» Framework for Agile Methods Classification
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PAMI
2006
208views more  PAMI 2006»
13 years 8 months ago
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
Sanja Fidler, Danijel Skocaj, Ales Leonardis
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
14 years 2 months ago
A Framework for Incorporating Class Priors into Discriminative Classification
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
Rong Jin, Yi Liu
JMLR
2008
110views more  JMLR 2008»
13 years 8 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger
ICCV
2009
IEEE
13 years 6 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...
DICTA
2007
13 years 10 months ago
A Shape Ontology Framework for Bird Classification
Current research on shape based classification has been generally aimed at utilising various visual features. Previous research has shown that the existing knowledge in a specific...
Yue Liu, Jinglan Zhang, Dian Tjondronegoro, Shlomo...