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» The Methods of Approximation and Lifting in Real Computation
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109
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KDD
2012
ACM
212views Data Mining» more  KDD 2012»
12 years 12 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park
CVPR
2001
IEEE
15 years 11 months ago
Fast Focal Length Solution in Partial Panoramic Image Stitching
Accurate estimation of effective camera focal length is crucial to the success of panoramic image stitching. Fast techniques for estimating the focal length exist, but are depende...
Kirk L. Duffin, William A. Barrett
CVPR
2008
IEEE
15 years 11 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
ICPR
2002
IEEE
15 years 10 months ago
Self-Calibration and Neural Network Implementation of Photometric Stereo
This paper describes a new approach to neural network implementation of photometric stereo for a rotational object with non-uniform reflectance factor. Three input images are acqu...
Yuji Iwahori, Yumi Watanabe, Robert J. Woodham, Ak...
71
Voted
AFRIGRAPH
2001
ACM
15 years 1 months ago
Realistic visualisation of the Pompeii frescoes
Three dimensional computer reconstruction provides us with a means of visualising past environments, allowing us a glimpse of the past that might otherwise be difficult to appreci...
Kate Devlin, Alan Chalmers