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» A Distance-Based Packing Method for High Dimensional Data
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IGARSS
2010
13 years 5 months ago
Three dimensional reconstruction of urban areas using jointly phase and amplitude multichannel images
The aim of this paper is the three dimensional reconstruction of urban areas using Very High Resolution (VHR) images. The proposed innovative approach for the three dimensional re...
Aymen Shabou, Florence Tupin, Giampaolo Ferraioli,...
ICML
2004
IEEE
14 years 1 months ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
ESANN
2004
13 years 9 months ago
Functional preprocessing for multilayer perceptrons
In many applications, high dimensional input data can be considered as sampled functions. We show in this paper how to use this prior knowledge to implement functional preprocessin...
Fabrice Rossi, Brieuc Conan-Guez
ICML
2006
IEEE
14 years 8 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 9 months ago
Similarity Search in Sets and Categorical Data Using the Signature Tree
Data mining applications analyze large collections of set data and high dimensional categorical data. Search on these data types is not restricted to the classic problems of minin...
Nikos Mamoulis, David W. Cheung, Wang Lian