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» Dimensionality Reduction for Image Retrieval
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ICPR
2006
IEEE
14 years 10 months ago
Clustering-based multispectral band selection using mutual information
This work presents the application of a novel technique on dimensionality reduction to deal with multispectral images. A distance based on mutual information is used to construct ...
Adolfo Martínez Usó, Filiberto Pla, ...
PAMI
2008
190views more  PAMI 2008»
13 years 9 months ago
Scene Classification Using a Hybrid Generative/Discriminative Approach
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
ICML
2010
IEEE
13 years 10 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
ICMCS
2005
IEEE
79views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Supervised semi-definite embedding for image manifolds
Semi-definite Embedding (SDE) has been a recently proposed to maximize the sum of pair wise squared distances between outputs while the input data and outputs are locally isometri...
Benyu Zhang, Jun Yan, Ning Liu, QianSheng Cheng, Z...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 26 days ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han