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» A New Class Based Associative Classification Algorithm
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130
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JMLR
2006
99views more  JMLR 2006»
15 years 2 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
180
Voted
VLSISP
2010
254views more  VLSISP 2010»
15 years 1 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
151
Voted
ICCV
1999
IEEE
16 years 4 months ago
A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval
A Bayesian framework for deformable pattern classification has been proposed in [1] with promising results for isolated handwritten character recognition. Its performance, however...
Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
143
Voted
ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
15 years 14 days ago
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
139
Voted
SMA
2003
ACM
118views Solid Modeling» more  SMA 2003»
15 years 8 months ago
Graph based topological analysis of tessellated surfaces
In this paper a graph-based method is presented which not only characterizes topological classification of the tessellated surfaces but also simultaneously generates the substanti...
Tula Ram Ban, Dibakar Sen