A. M. Martinez and A. C. Kak, "PCA versus LDA, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23(2), pp. 228--233, 2001. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Texture Based MRI Segmentation with a Two-Stage.. - Pitiot, Toga.. (2002) (Correct)
....a review) These make use of statistical measures, time space frequency decompositions, or fractal parameters for instance. As every descriptor has weaknesses and strengths, one usually combines them to improve the classification performance. We chose to use linear discriminant analysis (LDA) [10] to evaluate a large number of texture descriptors on a training database and help in selecting the most pertinent ones. For each anatomical structure to be segmented, we compiled a series of MR images, along with their associated manually segmented images to form the training database. We then ....
A.M. Martinez and A.C. Kak, "PCA versus LDA," IEEE Trans. on PAMI, vol. 23, n 2, 2001, pp. 228-233.
Enhancement, Classification And Compression Of Chromosome Images - Qiang (Correct)
.... with least MSE, it is generally believed that algorithms based on LDA are superior than those based on PCA [12] Only recently however, the issue of limitations of LDA has been addressed, and a study that indicates PCA can outperform LDA when the training data set is small has been reported [13]. In [8] we point out yet another important limitation of LDA that was previously unknown. While the superiority of LDA generally holds for classification with the nearestneighbor (NN) classifier used in most previous LDA studies, it is not always the case with a maximum likelihood (ML) ....
A. Martinez and A. Kak, "PCA versus LDA," IEEE Trans. Pattern Anal. and Machine Intell., vol. 23, pp. 228-233, February 2001.
Fusion of LDA and PCA for Face Verification - Marcialis, Roli (2002) (2 citations) (Correct)
....and verification. Many systems based on PCA or LDA have been developed for face recognition and verification, and comparative advantages of such methods have been studied in detail for face recognition [1 7] Reported results showed that PCA can outperform LDA when the training set is small [6]. On the other hand, LDA can outperform PCA when image lighting variations are to be handled [7] Both methods are rather sensible to scale variations. Although face based recognition and verification systems have proven to be reliable in ideal environments, they can be very sensitive to real ....
....being the upper bound of the discriminant space dimensionality. We need d c samples at least to have a nonsingular S w. It is impossible to guarantee this condition in many real applications. Consequently, an intermediate transformation is applied to reduce the dimensionality of the image space [6]. To this end, we used the PCA transform. 3 Fusion of LDA and PCA Face verification can be regarded as a two class problem. This problem is usually addressed by a template matching approach. A score or a distance of the candidate pattern from the template is computed, and compared with a ....
A.Martinez and A.Kak: "PCA versus LDA", IEEE Trans. On PAMI, 23(2):228-233, 2001.
Experiments on Eigenfaces Robustness - Lemieux, Parizeau (2002) (1 citation) (Correct)
....and lighting. 1 Introduction Face recognition is an active field of research, ranging from security applications to human computer interaction. Many techniques have been developed and huge progress has been made, yielding systems with good human detection, tracking and recognition abilities [4, 5, 7, 8]. In the context of visual surveillance, ideal conditions for person identification are rarely met, therefore the need for a robust system. To use face recognition, individuals must first be found in the scene, their face segmented as accurately as possible, and then warped into a view compatible ....
A. M. Martinez and A. C. Kak. PCA versus LDA. IEEE PAMI, 23(2):228--233, 2001.
Appearance-Based Classification And Recognition Using Spectral.. - Zhang (2005) (Correct)
No context found.
A. M. Martinez and A. C. Kak, "PCA versus LDA, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23(2), pp. 228--233, 2001.
Spatial Interest Pixels (SIPs): Useful Low-Level Features of .. - Qi Li Department (Correct)
No context found.
A. Martinez and A. Kak. PCA versus LDA. IEEE TPAMI, 23(2):228--233, 2001.
Adaptive Elastic Segmentation of Brain MRI via.. - Pitiot, Toga, Thompson (2002) (Correct)
No context found.
A. M. Martinez and A. C. Kak, "PCA versus LDA," IEEE Trans. Pattern Anal. Machine Intell., vol. 23, pp. 228--233, Feb. 2001.
Principal Component Null Space Analysis for Image/Video.. - Namrata Vaswani And (2004) (Correct)
No context found.
Alex M. Martinez and Avinash C. Kak, "Pca versus lda," IEEE Trans. on Pattern Analysis and Machine Intelligence, February 2001.
INTERNATIONAL SYMPOSIUM ON ROBOTS AND AUTOMATION 2002 1 .. - Parameterization Of.. (2002) (Correct)
No context found.
Aleix M. Martinez and Avinash C. Kak, "PCA versus LDA," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 2, pp. 228--233, 2001.
Classification Probability Analysis Of Principal Component.. - Namrata Vaswani And (2004) (2 citations) (Correct)
No context found.
Alex M. Martinez and Avinash C. Kak, "Pca versus lda," IEEE Trans. on Pattern Analysis and Machine Intelligence, February 2001.
Robust LDA Classification by Subsampling - Fidler, Leonardis (Correct)
No context found.
A.M. Martinez and A.C. Kak. "PCA versus LDA," IEEE PAMI, Vol. 23, No. 2, pp. 228-233, 2001.
Component-based LDA Face Descriptor for Image Retrieval - Kim, Kim, Hwang, Kee, Lee (2002) (Correct)
No context found.
A.M. Martinez, A.C. Kak, "PCA versus LDA," IEEE Trans. On Pattern Recognition and Machine Intelligence, Vol. 23, No. 3, pp. 228-233, July 1997.
Face Recognition: Component-Based versus Global Approaches - Heisele, Ho, Wu, Poggio (2003) (3 citations) (Correct)
No context found.
A.M. Martinez, A.C. Kak, Pca versus lda, IEEE Trans. Pattern Anal. Mach. Intell. 23 (2) (2001) 228--233.
Face Recognition with One . . . - Chen, Lovell (Correct)
No context found.
A. M. Martinez and A. C. Kak, "PCA versus LDA", IEEE TPAMI , 23(2):228--233, 2001.
Statistical Search for Hierarchical Linear Optimal.. - Zhang, Liu, Srivastava (Correct)
No context found.
A. M. Martinez and A. C. Kak, "PCA versus LDA, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23(2), pp. 228--233, 2001.
Graph-based Matching of Occluded Hand Gestures - Shamaie, Sutherland (2001) (Correct)
No context found.
A. M. Martinez and A. C. Kak, "PCA versus LDA," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 23, No. 2, Feb. 2001.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC