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» Set cover algorithms for very large datasets
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CVPR
2010
IEEE
15 years 6 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
ICIP
1999
IEEE
15 years 11 months ago
Video Motion Capture Using Feature Tracking and Skeleton Reconstruction
In the domain of computer vision, there exists a very wide application for the research of human motion capture. This paper proposes a new approach to do motion capture in video. ...
Xiaoming Liu 0002, Yueting Zhuang, Yunhe Pan
MICCAI
2009
Springer
15 years 9 months ago
Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiativ
Tensor-based morphometry (TBM) is an analysis technique where anatomical information is characterized by means of the spatial transformations between a customized template and obse...
Ernesto Zacur, Matías Nicolás Bossa,...
ICNP
2003
IEEE
15 years 3 months ago
Resilient Peer-to-Peer Streaming
We consider the problem of distributing “live” streaming media content to a potentially large and highly dynamic population of hosts. Peer-to-peer content distribution is attr...
Venkata N. Padmanabhan, Helen J. Wang, Philip A. C...
SDM
2007
SIAM
73views Data Mining» more  SDM 2007»
14 years 11 months ago
Sketching Landscapes of Page Farms
The Web is a very large social network. It is important and interesting to understand the “ecology” of the Web: the general relations of Web pages to their environment. The un...
Bin Zhou 0002, Jian Pei