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Histogram PCA

2007
Histograms are data objects that are commonly used to characterize media objects like image, video, audio etc. Symbolic Data Analysis (SDA) is a field which deals with extracting knowledge and relationship from such complex data objects. The current research scenario of SDA has contributions related to dimensionality reduction of interval kind data ...
R. Pradeep Kumar, P. Nagabhushan
openaire   +2 more sources

Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space

SIAM Journal on Scientific Computing, 2018
This paper is concerned with the statistical analysis of datasets whose elements are random histograms. For the purpose of learning principal modes of variation from such data, we consider the issue of computing the principal component analysis (PCA) of ...
Elsa Cazelles   +4 more
semanticscholar   +1 more source

On proximity between PCA in the frequency domain and usual PCA

Statistics, 2006
The principal components analysis (PCA) in the frequency domain of a stationary p-dimensional time series (X n ) n∈ℤ leads to a summarizing time series written as a linear combination series X′ n =∑ m C m ° X n−m . Therefore, we observe that, when the coefficients C m , m≠0, are close to 0, this PCA is close to the usual PCA, that is the PCA in the ...
Sylvie Viguier-Pla, Alain Boudou
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The equivalence of two-dimensional PCA to line-based PCA

Pattern Recognition Letters, 2005
The state-of-the-art in human face recognition is the subspace methods originated by the Principal Component Analysis (PCA), the Eigenfaces of the facial images. Recently, a technique called Two-dimensional PCA (2DPCA) was proposed for human face representation and recognition.
Xiao Wang   +3 more
openaire   +2 more sources

A Fable of PCA

The American Statistician, 1986
Dr. First studied the Big Forest. Some 100 sites were chosen through skilled use of random number tables. A trained crew of five graduate students visited each site, recording (a) native tree biomass, (b) exotic tree biomass, (c) native shrub biomass, (d) exotic shrub biomass, and (e) total Forbes biomass (all Forbes being native).
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Microsurgical anastomosis with the ‘PCA’ technique

Journal of Plastic, Reconstructive & Aesthetic Surgery, 2008
In this study, we introduce a new microvascular anastomosis technique called 'PCA' (Posterior wall first--Continuous interrupted--Airborne). The conventional microvascular anastomosis (CI), with single interrupted stitches, requires a long time to be completed, as each suture must be tied before starting the following stitch.
CIGNA, EMANUELE   +5 more
openaire   +5 more sources

Subcutaneous-PCA

The Clinical Journal of Pain, 1990
Patients (n = 120) undergoing major orthopedic (e.g., total hip replacement), urologic (e.g., radical prostatectomy), or gynecologic (e.g., total abdominal hysterectomy) procedures were randomly assigned to receive either morphine or oxymorphone postoperatively using a patient-controlled analgesic (PCA) delivery system.
openaire   +3 more sources

PCA-Based Edge-Preserving Features for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2017
Xudong Kang   +3 more
semanticscholar   +1 more source

Intelligent bearing fault diagnosis using PCA–DBN framework

Neural computing & applications (Print), 2019
Jing Zhu, T. Hu, B. Jiang, Xinzhe Yang
semanticscholar   +1 more source

When is a PCA a PCA?

Journal of Philosophy of Education, 1982
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