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» A new objective function for sequence labeling
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BMCBI
2010
129views more  BMCBI 2010»
14 years 9 months ago
The LabelHash Algorithm for Substructure Matching
Background: There is an increasing number of proteins with known structure but unknown function. Determining their function would have a significant impact on understanding diseas...
Mark Moll, Drew H. Bryant, Lydia E. Kavraki
JMLR
2012
13 years 4 days ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
DGCI
1999
Springer
15 years 2 months ago
A Topological Method of Surface Representation
A new method of representing a surface in the 3D space as a single digitally continuous sequence of faces is described. The method is based on topological properties of quasi-manif...
Vladimir Kovalevsky
CORR
2006
Springer
121views Education» more  CORR 2006»
14 years 9 months ago
Number sequence representation of protein structures based on the second derivative of a folded tetrahedron sequence
A protein is a sequence of amino-acids of length typically less than 1, 000, where there are 20 kinds of amino-acids. In nature, each protein is folded into a well-defined three-d...
Naoto Morikawa
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai