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» Alternating Projections on Manifolds
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TIP
2010
145views more  TIP 2010»
13 years 4 months ago
Joint Manifolds for Data Fusion
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte,...
CORR
2010
Springer
164views Education» more  CORR 2010»
13 years 9 months ago
Random Projection Trees Revisited
The Random Projection Tree (RPTREE) structures proposed in [1] are space partitioning data structures that automatically adapt to various notions of intrinsic dimensionality of da...
Aman Dhesi, Purushottam Kar
DCC
2006
IEEE
14 years 3 months ago
Quantization on the Complex Projective Space
This paper derives bounds on the distortion rate function for quantization on the complex projective space denoted as CPn−1 . In essence the problem of quantization in an Euclid...
Bishwarup Mondal, Satyaki Dutta, Robert W. Heath J...
ADCM
2008
136views more  ADCM 2008»
13 years 10 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
14 years 3 months ago
Manifold Clustering of Shapes
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
Dragomir Yankov, Eamonn J. Keogh