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» A Graph-Based Approach for Modeling and Indexing Video Data
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TSP
2010
14 years 4 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
BMCBI
2010
189views more  BMCBI 2010»
14 years 9 months ago
Efficient parallel and out of core algorithms for constructing large bi-directed de Bruijn graphs
Background: Assembling genomic sequences from a set of overlapping reads is one of the most fundamental problems in computational biology. Algorithms addressing the assembly probl...
Vamsi Kundeti, Sanguthevar Rajasekaran, Hieu Dinh,...
CGF
2010
171views more  CGF 2010»
14 years 6 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
84
Voted
CVPR
2009
IEEE
16 years 4 months ago
Co-training with Noisy Perceptual Observations
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
WWW
2006
ACM
15 years 10 months ago
Automatic geotagging of Russian web sites
The poster describes a fast, simple, yet accurate method to associate large amounts of web resources stored in a search engine database with geographic locations. The method uses ...
Alexei Pyalling, Michael Maslov, Pavel Braslavski