PCA versus LDA

Authors:
Aleix M. Martínez;Avinash C. Kak
Affiliations:
Purdue Univ., West Lafayette, IN;Purdue Univ., West Lafayette, IN
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2001

Citing 7
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Pattern Recognition
Face recognition using Elasticfaces

Pattern Recognition
Affect prediction from physiological measures via visual stimuli

International Journal of Human-Computer Studies
Fisher Difference Discriminant Analysis: Determining the Effective Discriminant Subspace Dimensions for Face Recognition

Neural Processing Letters
Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction

Pattern Recognition
Subclass discriminant Nonnegative Matrix Factorization for facial image analysis

Pattern Recognition
An evidential reasoning based classification algorithm and its application for face recognition with class noise

Pattern Recognition
Performance evaluation of subspace methods to tackle small sample size problem in face recognition

Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Simultaneous discriminative projection and dictionary learning for sparse representation based classification

Pattern Recognition
A hybrid system for distortion classification and image quality evaluation

Image Communication
Learning kernel subspace classifier

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Real-time face detection and recognition on LEGO mindstorms NXT robot

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Robust tensor classifiers for color object recognition

ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
A fast illumination and deformation insensitive image comparison algorithm using wavelet-based geodesics

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition

Neural Networks
A novel neural network approach for computing eigen-pairs of real antisymmetric matrices

AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Comparative performance of state-of-the-art classifiers in computer-aided detection for CT colonography

MICCAI'12 Proceedings of the 4th international conference on Abdominal Imaging: computational and clinical applications
Adaptive weighted learning for linear regression problems via Kullback-Leibler divergence

Pattern Recognition
Equivalence Between LDA/QR and Direct LDA

International Journal of Cognitive Informatics and Natural Intelligence
Discriminative Zernike and Pseudo Zernike Moments for Face Recognition

International Journal of Computer Vision and Image Processing
Estimating the total variability space using sparse probabilistic principal component analysis

CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Face Recognition System using Discrete Cosine Transform combined with MLP and RBF Neural Networks

International Journal of Mobile Computing and Multimedia Communications
The maximized discriminative subspace for manifold learning problem

IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Generalization of linear discriminant analysis using Lp-norm

Pattern Recognition Letters
Using the idea of the sparse representation to perform coarse-to-fine face recognition

Information Sciences: an International Journal
RPCA: a novel preprocessing method for PCA

Advances in Artificial Intelligence
Two-dimensional color uncorrelated discriminant analysis for face recognition

Neurocomputing
Multi-metric learning for multi-sensor fusion based classification

Information Fusion
Optical font recognition using conditional random field

Proceedings of the 2013 ACM symposium on Document engineering
Structure preserving non-negative matrix factorization for dimensionality reduction

Computer Vision and Image Understanding
Face recognition using Weber local descriptors

Neurocomputing
Regularized least squares fisher linear discriminant with applications to image recognition

Neurocomputing
Discriminative functional analysis of human movements

Pattern Recognition Letters
Regularized discriminant entropy analysis

Pattern Recognition
Dimensionality reduction with adaptive graph

Frontiers of Computer Science: Selected Publications from Chinese Universities
Towards automated appliance recognition using an EMF sensor in NILM platforms

Advanced Engineering Informatics
Detecting driver drowsiness using feature-level fusion and user-specific classification

Expert Systems with Applications: An International Journal
Joint Laplacian feature weights learning

Pattern Recognition
Global plus local: A complete framework for feature extraction and recognition

Pattern Recognition
A new automatic image analysis method for assessing estrogen receptors' status in breast tissue specimens

Computers in Biology and Medicine
Double linear regressions for single labeled image per person face recognition

Pattern Recognition
Facial-feature detection and localization based on a hierarchical scheme

Information Sciences: an International Journal
Face recognition using scale-adaptive directional and textural features

Pattern Recognition
An efficient approach for face recognition based on common eigenvalues

Pattern Recognition
Breast density classification to reduce false positives in CADe systems

Computer Methods and Programs in Biomedicine
Optimizing principal component analysis performance for face recognition using genetic algorithm

Neurocomputing
Perceptual relativity-based semi-supervised dimensionality reduction algorithm

Applied Soft Computing
Robust recognition of face with partial variations using local features and statistical learning

Neurocomputing
Pedestrian detection in far infrared images

Integrated Computer-Aided Engineering
Two-factor face authentication using matrix permutation transformation and a user password

Information Sciences: an International Journal

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Abstract

In the context of the appearance-based paradigm for object recognition, it is generally believed that algorithms based on LDA (Linear Discriminant Analysis) are superior to those based on PCA (Principal Components Analysis). In this communication, we show that this is not always the case. We present our case first by using intuitively plausible arguments and, then, by showing actual results on a face database. Our overall conclusion is that when the training data set is small, PCA can outperform LDA and, also, that PCA is less sensitive to different training data sets.