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KDD
2002
ACM
104views Data Mining» more  KDD 2002»
16 years 2 months ago
Generalization Methods in Bioinformatics
Protein secondary structure prediction and high-throughput drug screen data mining are two important applications in bioinformatics. The data is represented in sparse feature spac...
Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hal...
CCGRID
2003
IEEE
15 years 7 months ago
Using grid technologies to face medical image analysis challenges
The availability of digital imagers inside hospitals and their ever growing inspection capabilities have established digital medical images as a key component of many pathologies ...
Johan Montagnat, Vincent Breton, Isabelle E. Magni...
ECCV
2010
Springer
15 years 6 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
CORR
2011
Springer
235views Education» more  CORR 2011»
14 years 8 months ago
On the accuracy of language trees
Historical linguistics aims at inferring the most likely language phylogenetic tree starting from information concerning the evolutionary relatedness of languages. The available i...
Simone Pompei, Vittorio Loreto, Francesca Tria
BILDMED
2007
107views Algorithms» more  BILDMED 2007»
15 years 3 months ago
Whole Body MRI Intensity Standardization
Abstract. A major problem of segmentation of magnetic resonance images is that intensities are not standardized like in computed tomography. This article deals with the correction ...
Florian Jäger, László G. Ny&uac...