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» See all by looking at a few: Sparse modeling for finding rep...
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CVPR
2012
IEEE
11 years 10 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
13 years 9 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»
13 years 2 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
14 years 8 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»
13 years 7 months 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...