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기계학습, 영상처리 기초 본문

관심주제

기계학습, 영상처리 기초

kimkijun 2020. 11. 21. 02:26

Lectures

www.cs.toronto.edu/~mren/teach/csc411_19s/

 

CSC 411 Winter 2019

Neal, Radford and Hinton, Geoffrey. “A view of the EM algorithm that justifies incremental, sparse, and other variants.” Learning in graphical models. 1999. [pdf]

www.cs.toronto.edu

vision.stanford.edu/teaching/cs131_fall2021/index.html

 

Computer Vision: Foundations and Applications

Course Description Ever wonder how robots can navigate space and perform duties, how search engines can index billions of images and videos, how algorithms can diagnose medical images for diseases, how self-driving cars can see and drive safely or how inst

vision.stanford.edu

cs229.stanford.edu/

 

CS229: Machine Learning

CS229: Machine Learning Fall 2020 Instructors Course Description   This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-

cs229.stanford.edu

 

Books

people.eecs.berkeley.edu/~wainwrig/Papers/WaiJor08_FTML.pdf

www.gaussianprocess.org/gpml/chapters/RW.pdf

www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf

 

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