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162
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TIP
2002
179views more  TIP 2002»
15 years 3 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
121
Voted
WG
2010
Springer
15 years 1 months ago
Colouring Vertices of Triangle-Free Graphs
The vertex colouring problem is known to be NP-complete in the class of triangle-free graphs. Moreover, it remains NP-complete even if we additionally exclude a graph F which is n...
Konrad Dabrowski, Vadim V. Lozin, Rajiv Raman, Ber...
157
Voted
CDC
2009
IEEE
110views Control Systems» more  CDC 2009»
15 years 1 months ago
Perturbation analysis and optimization of multiclass multiobjective Stochastic Flow Models
Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
Chen Yao, Christos G. Cassandras
ICIP
2008
IEEE
16 years 5 months ago
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery
A richer set of land-cover classes are observable in satellite imagery than ever before due to the increased sub-meter resolution. Individual objects, such as cars and houses, are...
Yi Yang, Shawn Newsam
134
Voted
ICML
2008
IEEE
16 years 4 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar