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» Bypassing the embedding: algorithms for low dimensional metr...
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SAC
2005
ACM
13 years 11 months ago
Estimating manifold dimension by inversion error
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
Shawn Martin, Alex Bäcker
DAGM
2009
Springer
14 years 1 days ago
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Gurman Gill, Martin Levine
ESA
2006
Springer
105views Algorithms» more  ESA 2006»
13 years 9 months ago
Navigating Low-Dimensional and Hierarchical Population Networks
Abstract. Social networks are navigable small worlds, in which two arbitrary people are likely connected by a short path of intermediate friends that can be found by a "decent...
Ravi Kumar, David Liben-Nowell, Andrew Tomkins
ICPR
2008
IEEE
14 years 6 months ago
Unsupervised image embedding using nonparametric statistics
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
Guobiao Mei, Christian R. Shelton
TON
2008
126views more  TON 2008»
13 years 5 months ago
Hyperbolic embedding of internet graph for distance estimation and overlay construction
Estimating distances in the Internet has been studied in the recent years due to its ability to improve the performance of many applications, e.g., in the peer-topeer realm. One sc...
Yuval Shavitt, Tomer Tankel