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CSE203B: convex optimization #29

Open eric-yyjau opened 4 years ago

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Questions

eric-yyjau commented 4 years ago

Stanford Engineering Everywhere | EE364A - Convex Optimization I https://see.stanford.edu/Course/EE364A

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Infimum and supremum - Wikipedia https://en.wikipedia.org/wiki/Infimum_and_supremum

eric-yyjau commented 4 years ago

Maximum flow http://www.mathcs.emory.edu/~cheung/Courses/323/Syllabus/NetFlow/max-flow-lp.html

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CS 598 Applications of Optimization in Vision http://luthuli.cs.uiuc.edu/~daf/courses/Optimization/Opt-2.html

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Computer Vision Group - Winter Semester 2018/19 - Convex Optimization for Machine Learning and Computer Vision (IN2330) (2h + 2h, 6 ECTS) https://vision.in.tum.de/teaching/ws2018/cvx4cv

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CRF learning with CNN features for image segmentation - ScienceDirect https://www.sciencedirect.com/science/article/pii/S0031320315001582

ReportImageSeg.pdf http://cseweb.ucsd.edu/classes/wi20/cse203B-a/project/ReportImageSeg.pdf

ICCV 2019 Open Access Repository http://openaccess.thecvf.com/ICCV2019.py

Optimizing Network Structure for 3D Human Pose Estimation http://openaccess.thecvf.com/content_ICCV_2019/papers/Ci_Optimizing_Network_Structure_for_3D_Human_Pose_Estimation_ICCV_2019_paper.pdf

A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers http://openaccess.thecvf.com/content_ICCV_2019/papers/Yang_A_Quaternion-Based_Certifiably_Optimal_Solution_to_the_Wahba_Problem_With_ICCV_2019_paper.pdf

[1910.08898] Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments https://arxiv.org/abs/1910.08898

convex optimization loss function - Google Scholar https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&as_ylo=2016&as_vis=1&q=convex+optimization+loss+function&btnG=

DAGM 2011 Tutorial on Convex Optimization for Computer Vision - Part 1: Convexity and Convex Optimization file:///Users/ericjau/Downloads/part1.pdf

Home - Optimization for Computer Vision and Machine Learning https://ivul.kaust.edu.sa/Pages/Res-Optimization-CV-ML.aspx

Computer Vision Group - Winter Semester 2018/19 - Convex Optimization for Machine Learning and Computer Vision (IN2330) (2h + 2h, 6 ECTS) https://vision.in.tum.de/teaching/ws2018/cvx4cv

CSE203B: convex optimization · Issue #29 · eric-yyjau/Reading_list https://github.com/eric-yyjau/Reading_list/issues/29

Optimization for Machine Learning | UC Berkeley School of Information https://www.ischool.berkeley.edu/events/2019/optimization-machine-learning

Your Repositories https://github.com/eric-yyjau?tab=repositories

TRI-ML/KP3D: Code for "Self-Supervised 3D Keypoint Learning for Ego-motion Estimation" https://github.com/TRI-ML/KP3D

kjunelee/MetaOptNet: Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral) https://github.com/kjunelee/MetaOptNet

How to Compare Different Loss Functions and Their Risks | SpringerLink https://link.springer.com/article/10.1007/s00365-006-0662-3