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» See all by looking at a few: Sparse modeling for finding rep...
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CVPR
2012
IEEE
9 years 3 months ago
See all by looking at a few: Sparse modeling for finding representative objects
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
Ehsan Elhamifar, Guillermo Sapiro, René Vid...
DEBS
2008
ACM
11 years 3 months ago
Top-k/w publish/subscribe: finding k most relevant publications in sliding time window w
Existing content-based publish/subscribe systems are designed assuming that all matching publications are equally relevant to a subscription. As we cannot know in advance the dist...
Kresimir Pripuzic, Ivana Podnar Zarko, Karl Aberer
TKDE
2010
251views more  TKDE 2010»
10 years 8 months ago
Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases
The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
Bin Cui, Jiakui Zhao, Dongqing Yang
GIS
2006
ACM
12 years 2 months ago
Object localization based on directional information case of 2D vector data
If you were told that some object A was perfectly (or somewhat, or not at all) in some direction (e.g., west, above-right) of some reference object B, where in space would you loo...
Stelian Coros, JingBo Ni, Pascal Matsakis
PAMI
2002
187views more  PAMI 2002»
11 years 28 days ago
Human Activity Recognition Using Multidimensional Indexing
In this paper, we develop a novel method for view-based recognition of human action/activity from videos. By observing just a few frames, we can identify the activity that takes pl...
Jezekiel Ben-Arie, Zhiqian Wang, Purvin Pandit, Sh...
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