'Isomap' diaporamas de présentation

595 views • 45 slides

Principal Component Analysis

Principal Component Analysis. Machine Learning. Last Time. Expectation Maximization in Graphical Models Baum Welch. Now. Unsupervised Dimensionality Reduction. Curse of Dimensionality. In (nearly) all modeling approaches, more features (dimensions) require (a lot) more data

986 views • 24 slides

Multidimensional Scaling (MDS)

Multidimensional Scaling (MDS). Multidimensional Scaling (MDS). Multidimensional Scaling (MDS). Multidimensional Scaling (MDS). Multidimensional Scaling (MDS). Multidimensional Scaling (MDS). Multidimensional Scaling (MDS). Multidimensional Scaling (MDS). Multidimensional Scaling (MDS).

498 views • 18 slides

Maximum likelihood estimation of intrinsic dimension

Maximum likelihood estimation of intrinsic dimension. Authors: Elizaveta Levina & Peter J. Bickel presented by: Ligen Wang. Plan. Problem Some popular methods MLE approach Statistical behaviors Evaluation Conclusions. Problem. Facts:

283 views • 11 slides

Face Recognition using Tensor Analysis

Face Recognition using Tensor Analysis. Presented by Prahlad R Enuganti. Face Recognition. Why is it necessary? Human Computer Interaction Authentication Surveillance Problems include change in Illumination Expression Pose Aging. Existing Techniques.

313 views • 9 slides