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» Reformulating Constraint Models Using Input Data
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CSB
2005
IEEE
152views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Consensus Genetic Maps: A Graph Theoretic Approach
A genetic map is an ordering of genetic markers constructed from genetic linkage data for use in linkage studies and experimental design. While traditional methods have focused on...
Benjamin G. Jackson, Srinivas Aluru, Patrick S. Sc...
ECCV
2002
Springer
16 years 5 months ago
Space-Time Tracking
Abstract. We propose a new tracking technique that is able to capture non-rigid motion by exploiting a space-time rank constraint. Most tracking methods use a prior model in order ...
Lorenzo Torresani, Christoph Bregler
ICCV
2005
IEEE
16 years 5 months ago
Shape and Appearance Repair for Incomplete Point Surfaces
This paper presents a new surface content completion framework that can restore both shape and appearance from scanned, incomplete point set inputs. First, the geometric holes can...
Seyoun Park, Xiaohu Guo, Hayong Shin, Hong Qin
BMCBI
2008
147views more  BMCBI 2008»
15 years 3 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
ICASSP
2008
IEEE
15 years 9 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...