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Found 8 papers, 1 papers with code
Robust Portfolio Selection Problems: A Comprehensive Review
In this paper, we provide a comprehensive review of recent advances in robust portfolio selection problems and their extensions, from both operational research and financial perspectives.
Lest We Forget: A Dataset of Coronavirus-Related News Headlines in Swiss Media
We release our COVID-19 news dataset, containing more than 10, 000 links to news articles related to the Coronavirus pandemic published in the Swiss media since early January 2020.
Bound and Conquer: Improving Triangulation by Enforcing Consistency
We study the accuracy of triangulation in multi-camera systems with respect to the number of cameras.
SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay
We propose a novel camera pose estimation or perspective-n-point (PnP) algorithm, based on the idea of consistency regions and half-space intersections.
A Bayesian Approach to the Data Description Problem
The proposed approach uses a Bayesian framework to precisely compute the class boundary and therefore can utilize domain information in form of prior knowledge in the framework.
Active Learning from Positive and Unlabeled Data
Such problems arise in many real-world situations and are known as the problem of learning from positive and unlabeled data.
On the Accuracy of Point Localisation in a Circular Camera-Array
Although many advances have been made in light-field and camera-array image processing, there is still a lack of thorough analysis of the localisation accuracy of different multi-camera systems.
