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» Quantization of Sparse Representations
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CVPR
2009
IEEE
1289views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Bundling Features for Large Scale Partial-Duplicate Web Image Search
In state-of-the-art image retrieval systems, an image is represented by a bag of visual words obtained by quantizing high-dimensional local image descriptors, and scalable schem...
Zhong Wu (Tsinghua University), Qifa Ke (Microsoft...
TKDE
2011
332views more  TKDE 2011»
13 years 2 months ago
Adaptive Cluster Distance Bounding for High-Dimensional Indexing
—We consider approaches for similarity search in correlated, high-dimensional data-sets, which are derived within a clustering framework. We note that indexing by “vector appro...
Sharadh Ramaswamy, Kenneth Rose
BMCBI
2011
12 years 11 months ago
PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus ge
Background: Results of phylogenetic analysis are often visualized as phylogenetic trees. Such a tree can typically only include up to a few hundred sequences. When more than a few...
Jiajie Zhang, Amir Madany Mamlouk, Thomas Martinet...
ICCV
2009
IEEE
14 years 12 months ago
Sparsity Induced Similarity Measure for Label Propagation
Graph-based semi-supervised learning has gained considerable interests in the past several years thanks to its effectiveness in combining labeled and unlabeled data through labe...
Hong Cheng, Zicheng Liu, Jie Yang
CVPR
2007
IEEE
14 years 9 months ago
Learning GMRF Structures for Spatial Priors
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
Lie Gu, Eric P. Xing, Takeo Kanade