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» Dimensionality Reduction with Image Data
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IJON
2006
85views more  IJON 2006»
14 years 10 months ago
From outliers to prototypes: Ordering data
We propose simple and fast methods based on nearest neighbors that order objects from high-dimensional data sets from typical points to untypical points. On the one hand, we show ...
Stefan Harmeling, Guido Dornhege, David M. J. Tax,...
ICIP
2000
IEEE
15 years 11 months ago
On the Compression of Image Based Rendering Scene
In image based rendering (IBR), a 3D scene is recorded through a set of photos, and a novel view is rendered by assembling data from the photo set. Compression is essential to red...
Jin Li, Harry Shum, Ya-Qin Zhang
INFORMATICALT
2008
97views more  INFORMATICALT 2008»
14 years 10 months ago
On Dimensionality of Embedding Space in Multidimensional Scaling
Multidimensional scaling is a technique for exploratory analysis of multidimensional data widely usable in different applications. By means of this technique the image points in a ...
Julius Zilinskas
PR
2006
147views more  PR 2006»
14 years 9 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung
SOCO
2008
Springer
14 years 9 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi