Dimensionality Reduction

Introduction
Courses
Articles
Notes

computer vision

Active Contours Color Edge Detection Image Features Linear Filters Patch Extraction Sampling and Aliasing

gpu programming

Heterogeneous Data Parallel Computing Introduction to GPGPU Programming Multidimensional Grids and Data

machine learning

Convolutional Neural Networks Linear Discriminant Analysis Linear Regression Logistic Regression Naive Bayes Probability Theory Regularization

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Principal Component Analysis

Dimensionality Reduction, Machine Learning