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SDM
2011
SIAM
241views Data Mining» more  SDM 2011»
14 years 3 months ago
A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
Yunlong He, Renato Monteiro, Haesun Park
SSPR
2004
Springer
15 years 5 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
92
Voted
CGI
2006
IEEE
15 years 4 months ago
Sub-sampling for Efficient Spectral Mesh Processing
In this paper, we apply Nystr
Rong Liu, Varun Jain, Hao Zhang 0002
121
Voted
ESANN
2006
15 years 1 months ago
Bayesian source separation: beyond PCA and ICA
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
Ali Mohammad-Djafari
ICCV
2003
IEEE
16 years 2 months ago
Shape Representation via Harmonic Embedding
We present a novel representation of shape for closed planar contours explicitly designed to possess a linear structure. This greatly simplifies linear operations such as averagin...
Alessandro Duci, Anthony J. Yezzi, Sanjoy K. Mitte...