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» A Computational Model for Metric Spaces
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NIPS
2003
15 years 8 months ago
Minimax Embeddings
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
Matthew Brand
FOCS
2010
IEEE
15 years 4 months ago
Stability Yields a PTAS for k-Median and k-Means Clustering
We consider k-median clustering in finite metric spaces and k-means clustering in Euclidean spaces, in the setting where k is part of the input (not a constant). For the k-means pr...
Pranjal Awasthi, Avrim Blum, Or Sheffet
ICCV
1998
IEEE
16 years 8 months ago
Bilateral Filtering for Gray and Color Images
Proceedings of the 1998IEEE International Conference on Computer Vision, Bombay, India Bilateral filtering smooths images while preserving edges, by means of a nonlinear combinati...
Carlo Tomasi, Roberto Manduchi
FOCS
2008
IEEE
16 years 1 months ago
Shallow-Low-Light Trees, and Tight Lower Bounds for Euclidean Spanners
We show that for every n-point metric space M and positive integer k, there exists a spanning tree T with unweighted diameter O(k) and weight w(T) = O(k · n1/k ) · w(MST(M)), an...
Yefim Dinitz, Michael Elkin, Shay Solomon
ACCV
1998
Springer
15 years 11 months ago
Adaptive Color-Image Embeddings for Database Navigation
Proceedings of the 1998 IEEE Asian Conference on Computer Vision, Hong Kong We present a novel approach to the problem of navigating through a database of color images for the pur...
Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas