Pca ppt
Age prediction using pca, lda and hybrid
Dimensionality reductionPCA, SVD, MDS, ICA, and friends
Giorgio De Nunzio 1, Marina Donativi 1, Gabriella Pastore 2, Matteo Rucco 3, Antonella Castellano 4, Andrea Falini 4 1.Dept of Materials Science, Univ.
PCA vs ICA vs LDA. How to represent images? Why representation methods are needed?? –Curse of dimensionality – width x height x channels –Noise reduction.
Mining Anomalies Using Traffic Feature Distributions Anukool Lakhina Mark Crovella Christophe Diot in ACM SIGCOMM 2005 Presented by: Sailesh Kumar.
Matrices CS485/685 Computer Vision Dr. George Bebis.
