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TIP
2010
277views more  TIP 2010»
15 years 1 months ago
Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities du...
Chunming Li, Chenyang Xu, Changfeng Gui, Martin D....
CGF
2011
14 years 10 months ago
Intrinsic Shape Matching by Planned Landmark Sampling
Recently, the problem of intrinsic shape matching has received a lot of attention. A number of algorithms have been proposed, among which random-sampling-based techniques have bee...
Art Tevs, Alexander Berner, Michael Wand, Ivo Ihrk...
NAR
2011
159views Computer Vision» more  NAR 2011»
14 years 9 months ago
SuperSweet - a resource on natural and artificial sweetening agents
A vast number of sweet tasting molecules are known, encompassing small compounds, carbohydrates, D-amino acids and large proteins. Carbohydrates play a particularly big role in hu...
Jessica Ahmed, Saskia Preissner, Mathias Dunkel, C...
NAR
2011
223views Computer Vision» more  NAR 2011»
14 years 9 months ago
ODB: a database for operon organizations, 2011 update
ODB (Operon DataBase) aims to collect data of all known and conserved operons in completely sequenced genomes. Three newly updated features of this database have been added as fol...
Shujiro Okuda, Akiyasu C. Yoshizawa
JMLR
2012
13 years 9 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
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