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» A Computational Model for Metric Spaces
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NIPS
2004
15 years 8 months ago
Kernel Methods for Implicit Surface Modeling
We describe methods for computing an implicit model of a hypersurface that is given only by a finite sampling. The methods work by mapping the sample points into a reproducing ker...
Bernhard Schölkopf, Joachim Giesen, Simon Spa...
CVPR
2008
IEEE
16 years 8 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
ICCV
2007
IEEE
16 years 8 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
IPPS
2007
IEEE
16 years 25 days ago
A Landmark-based Index Architecture for General Similarity Search in Peer-to-Peer Networks
The indexing of complex data and similarity search plays an important role in many application areas. Traditional centralized index structure can not scale with the rapid prolifer...
Xiaoyu Yang, Yiming Hu
ICALP
2004
Springer
15 years 12 months ago
Sublinear-Time Approximation for Clustering Via Random Sampling
Abstract. In this paper we present a novel analysis of a random sampling approach for three clustering problems in metric spaces: k-median, min-sum kclustering, and balanced k-medi...
Artur Czumaj, Christian Sohler