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ECCV
2010
Springer
16 years 3 days ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
ICCV
2011
IEEE
14 years 7 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
AAAI
2012
13 years 9 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
IRES
2002
63views more  IRES 2002»
15 years 6 months ago
The Semantic Web, universalist ambition and some lessons from librarianship
Building the semantic web encounters problems similar to building large bibliographic systems. The experience of librarianship in controlling large, heterogeneous collections of b...
Terrence A. Brooks
CVPR
2000
IEEE
16 years 9 months ago
High Dynamic Range Imaging: Spatially Varying Pixel Exposures
While real scenes produce a wide range of brightness variations, vision systems use low dynamic range image detectors that typically provide 8 bits of brightness data at each pixe...
Shree K. Nayar, Tomoo Mitsunaga