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109
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KI
2009
Springer
15 years 10 months ago
Generalized Clustering via Kernel Embeddings
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...
Stefanie Jegelka, Arthur Gretton, Bernhard Sch&oum...
160
Voted
CVPR
2009
IEEE
16 years 11 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
136
Voted
ICIP
2001
IEEE
16 years 5 months ago
Study of embedded font context and kernel space methods for improved videotext recognition
Videotext refers to text superimposed on video frames. A videotext based Multimedia Description Scheme has recently been adopted into the MPEG-7 standard. A study of published wor...
Chitra Dorai, Hrishikesh Aradhye, Jae-Chang Shim
68
Voted
JERIC
2002
69views more  JERIC 2002»
15 years 3 months ago
LegoSim: simulation of embedded kernels over Pthreads
Thomas Röblitz, Frank Mueller, Oliver Bü...