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JMLR
2010
218views more  JMLR 2010»
12 years 11 months ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao
CIKM
2010
Springer
13 years 3 months ago
Decomposing background topics from keywords by principal component pursuit
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
NC
2007
129views Neural Networks» more  NC 2007»
13 years 4 months ago
Sorting of neural spikes: When wavelet based methods outperform principal component analysis
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is deï...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
CSDA
2008
65views more  CSDA 2008»
13 years 4 months ago
On the number of principal components: A test of dimensionality based on measurements of similarity between matrices
An important problem in principal component analysis (PCA) is the estimation of the correct number of components to retain. PCA is most often used to reduce a set of observed vari...
Stéphane Dray
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 4 months ago
Stable Principal Component Pursuit
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a highdimensional data matrix despite both small entry-wise noise and gross spar...
Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. ...
BMCBI
2010
144views more  BMCBI 2010»
13 years 4 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
VISUALIZATION
1998
IEEE
13 years 8 months ago
Visualizing differences in movies of cortical activity
This paper discusses techniques for visualizing structure in video data and other data sets that represent time snapshots of physical phenomena. Individual frames of a movie are t...
Kay A. Robbins, David M. Senseman
ISCAS
1999
IEEE
70views Hardware» more  ISCAS 1999»
13 years 8 months ago
On optimization of filter banks with denoising applications
The problem of optimization of subband coders for given input statistics has received considerable attention in recent literature. The goal in these works has been to maximize the...
Sony Akkarakaran, P. P. Vaidyanathan
IJCNN
2000
IEEE
13 years 9 months ago
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hi...
ISMIR
2004
Springer
124views Music» more  ISMIR 2004»
13 years 10 months ago
Eigenrhythms: Drum pattern basis sets for classification and generation
We took a collection of 100 drum beats from popular music tracks and estimated the measure length and downbeat position of each one. Using these values, we normalized each pattern...
Dan Ellis, John Arroyo