Computational optimal transport: With applications to data science

G Peyré, M Cuturi - Foundations and Trends® in Machine …, 2019 - nowpublishers.com
Optimal transport (OT) theory can be informally described using the words of the French
mathematician Gaspard Monge (1746–1818): A worker with a shovel in hand has to move a …

Theory, phenomenology, and experimental avenues for dark showers: a Snowmass 2021 report

G Albouy, J Barron, H Beauchesne… - The European Physical …, 2022 - Springer
In this work, we consider the case of a strongly coupled dark/hidden sector, which extends
the Standard Model (SM) by adding an additional non-Abelian gauge group. These …

Three things everyone should know to improve object retrieval

R Arandjelović, A Zisserman - 2012 IEEE conference on …, 2012 - ieeexplore.ieee.org
The objective of this work is object retrieval in large scale image datasets, where the object
is specified by an image query and retrieval should be immediate at run time in the manner …

Wasserstein distributionally robust optimization: Theory and applications in machine learning

D Kuhn, PM Esfahani, VA Nguyen… - … science in the age …, 2019 - pubsonline.informs.org
Many decision problems in science, engineering, and economics are affected by uncertain
parameters whose distribution is only indirectly observable through samples. The goal of …

What do different evaluation metrics tell us about saliency models?

Z Bylinskii, T Judd, A Oliva, A Torralba… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
How best to evaluate a saliency model's ability to predict where humans look in images is an
open research question. The choice of evaluation metric depends on how saliency is …

Locality preserving matching

J Ma, J Zhao, J Jiang, H Zhou, X Guo - International Journal of Computer …, 2019 - Springer
Seeking reliable correspondences between two feature sets is a fundamental and important
task in computer vision. This paper attempts to remove mismatches from given putative …

Learning human activities and object affordances from rgb-d videos

HS Koppula, R Gupta… - The International journal …, 2013 - journals.sagepub.com
Understanding human activities and object affordances are two very important skills,
especially for personal robots which operate in human environments. In this work, we …

Fast and robust earth mover's distances

O Pele, M Werman - 2009 IEEE 12th international conference …, 2009 - ieeexplore.ieee.org
We present a new algorithm for a robust family of Earth Mover's Distances-EMDs with
thresholded ground distances. The algorithm transforms the flow-network of the EMD so that …

Left gaze bias between LHT and RHT: a recommendation strategy to mitigate human errors in left-and right-hand driving

J Xu, K Guo, X Zhang, PZH Sun - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Driver errors, such as distraction, perceptual blindness, and incorrect control manipulation,
can either cause road accidents or reduce driving performance in daily driving tasks …

[BOOK][B] Principles of digital image processing

W Burger, MJ Burge, MJ Burge, MJ Burge - 2009 - Springer
Principles of Digital Image Processing Page 1 UNDERGRADUATE TOPICS IN COMPUTER
SCIENCE Principles of Digital Image Processing Advanced Methods Wilhelm Burger Mark J …