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» Learning the Relative Importance of Features in Image Data
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NIPS
2001
15 years 6 months ago
Fast, Large-Scale Transformation-Invariant Clustering
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
Brendan J. Frey, Nebojsa Jojic
ICIP
2002
IEEE
16 years 6 months ago
Generalized bitplane-by-bitplane shift method for JPEG2000 ROI coding
One interesting feature of the new JPEG2000 image coding standard is support of region of interest (ROI) coding using the maximum shift (Maxshift) method, which allows for arbitra...
Zhou Wang, Serene Banerjee, Brian L. Evans, Alan C...
ICASSP
2010
IEEE
15 years 4 months ago
A union of incoherent spaces model for classification
We present a new and computationally efficient scheme for classifying signals into a fixed number of known classes. We model classes as subspaces in which the corresponding data...
Karin Schnass, Pierre Vandergheynst
MICCAI
2010
Springer
15 years 2 months ago
Optimized Anisotropic Rotational Invariant Diffusion Scheme on Cone-Beam CT
Cone-beam computed tomography (CBCT) is an important image modality for dental surgery planning, with high resolution images at a relative low radiation dose. In these scans the ma...
Dirk-Jan Kroon, Cornelis H. Slump, Thomas J. J. Ma...
NIPS
2001
15 years 6 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...