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» The intrinsic dimensionality of graphs
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ISBI
2006
IEEE
14 years 10 months ago
Nonlinear classification of EEG data for seizure detection
We address the problem of classification of EEG recordings for the detection of epileptic seizures. We assume that the EEG measurements can be described by a low dimensional manif...
Mabel Ramírez-Vélez, Richard Staba, ...
IV
2008
IEEE
91views Visualization» more  IV 2008»
14 years 4 months ago
Candidate Mapping: Finding Your Place Amongst the Candidates
The process ofvoting for a candidate involves selecting an individual who best matches a personal system of values and beliefs. Typically, voters must select a candidate whom they...
Justin Donaldson, William R. Hazlewood
CORR
2006
Springer
151views Education» more  CORR 2006»
13 years 10 months ago
Graph Laplacians and their convergence on random neighborhood graphs
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxb...
ICIAP
2009
ACM
14 years 10 months ago
Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU
Abstract. Being able to find the silhouette of an object is a very important front-end processing step for many high-level computer vision techniques, such as Shape-from-Silhouette...
Zachary A. Garrett, Hideo Saito
ICPR
2000
IEEE
14 years 11 months ago
Tandem Fusion of Nearest Neighbor Editing and Condensing Algorithms - Data Dimensionality Effects
In this paper, the effect of the dimensionality of data sets on the exploitation of synergy among known nearest neighbor (NN) editing and condensing tools is analyzed using a synt...
Belur V. Dasarathy, José Salvador Sá...