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BMCBI
2006
127views more  BMCBI 2006»
13 years 6 months ago
Automatic discovery of cross-family sequence features associated with protein function
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
Markus Brameier, Josien Haan, Andrea Krings, Rober...
ICCV
2007
IEEE
14 years 8 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
RECOMB
2007
Springer
14 years 7 months ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey
SAC
2010
ACM
14 years 1 months ago
Enhancing document structure analysis using visual analytics
During the last decade national archives, libraries, museums and companies started to make their records, books and files electronically available. In order to allow efficient ac...
Andreas Stoffel, David Spretke, Henrik Kinnemann, ...
CVPR
2007
IEEE
14 years 1 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu