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» Dimensionality Reduction with Image Data
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IJON
2006
85views more  IJON 2006»
15 years 3 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
16 years 5 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
110
Voted
INFORMATICALT
2008
97views more  INFORMATICALT 2008»
15 years 3 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
142
Voted
PR
2006
147views more  PR 2006»
15 years 3 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
123
Voted
SOCO
2008
Springer
15 years 3 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