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JMLR
2010
161views more  JMLR 2010»
15 years 1 months ago
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Micha...
MICCAI
2009
Springer
16 years 7 months ago
Non-rigid Registration of High Angular Resolution Diffusion Images Represented by Gaussian Mixture Fields
In this paper, we present a novel algorithm for non-rigidly registering two high angular resolution diffusion weighted MRIs (HARDI), each represented by a Gaussian mixture field (G...
Baba C. Vemuri, Guang Cheng 0002, Paul R. Carney, ...
ICPR
2004
IEEE
16 years 7 months ago
Image and Feature Co-Clustering
The visual appearance of an image is closely associated with its low-level features. Identifying the set of features that best characterizes the image is useful for tasks such as ...
Guoping Qiu
GIS
2008
ACM
16 years 7 months ago
An inconsistency tolerant approach to querying spatial databases
In order to deal with inconsistent databases, a repair semantics defines a set of admissible database instances that restore consistency, while staying close to the original insta...
Leopoldo E. Bertossi, Mónica Caniupá...
ICML
2005
IEEE
16 years 7 months ago
Fast condensed nearest neighbor rule
We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties....
Fabrizio Angiulli