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» Sparse molecular image representation
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NIPS
2001
13 years 7 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
BMCBI
2005
302views more  BMCBI 2005»
13 years 5 months ago
CGHPRO - A comprehensive data analysis tool for array CGH
Background: Array CGH (Comparative Genomic Hybridisation) is a molecular cytogenetic technique for the genome wide detection of chromosomal imbalances. It is based on the cohybrid...
Wei Chen, Fikret Erdogan, H.-Hilger Ropers, Steffe...
FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
13 years 7 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
ACCV
2010
Springer
13 years 24 days ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan
VISUALIZATION
1999
IEEE
13 years 10 months ago
Splatting Without the Blur
Splatting is a volume rendering algorithm that combines efficient volume projection with a sparse data representation: Only voxels that have values inside the iso-range need to be...
Klaus Mueller, Torsten Möller, Roger Crawfis