no code implementations • 7 Oct 2023 • Jeffrey Uhlmann
We critique the formulation of Arrow's no-dictator condition to show that it does not correspond to the accepted informal/intuitive interpretation.
no code implementations • 4 Sep 2023 • Jeffrey Uhlmann
In this paper we report on new results relating to a conjecture regarding properties of $n\times n$, $n\leq 6$, positive definite matrices.
no code implementations • 17 Jul 2023 • Tung Nguyen, Jeffrey Uhlmann
In this paper, we propose a new constraint, called shift-consistency, for solving matrix/tensor completion problems in the context of recommender systems.
no code implementations • 17 Jul 2023 • Tung Nguyen, Jeffrey Uhlmann
In this paper we discuss pre- and post-processing methods to induce desired consistency and/or invariance properties in blackbox systems, e. g., AI-based.
2 code implementations • 14 Mar 2023 • Wenqi Guo, Jeffrey Uhlmann
In this project, we proposed a new dating matching algorithm that uses Kendall-Tau distance to measure the similarity between users based on their ranking for items in a list.
no code implementations • 27 Jun 2022 • Tung Nguyen, Sang T. Truong, Jeffrey Uhlmann
In this paper we provide a latent-variable formulation and solution to the recommender system (RS) problem in terms of a fundamental property that any reasonable solution should be expected to satisfy.
no code implementations • 4 Apr 2022 • Tung Nguyen, Jeffrey Uhlmann
We introduce a new consistency-based approach for defining and solving nonnegative/positive matrix and tensor completion problems.
no code implementations • 17 Jun 2021 • Rafal Qasim Al Yousuf, Jeffrey Uhlmann
In this paper we note that the absence of the scale-invariance property by the conventional MP-RGA does not necessarily imply a practical disadvantage in real-world applications.
no code implementations • 18 Oct 2020 • Jeffrey Uhlmann
We propose and discuss the summarization of superpixel-type image tiles/patches using mean and covariance information.
no code implementations • 30 Apr 2018 • Jeffrey Uhlmann
The purpose of this paper is to introduce a set of four test images containing features and structures that can facilitate effective examination and comparison of image processing algorithms.