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20102026
most citedGaussianity and the Kalman Filter: A Simple Yet Complicated Relationship

23 citations · 92 across the 29 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.RO2023★ 1 cited

Achieving Unit-Consistent Pseudo-Inverse-based Path-Planning for Redundant Incommensurate Robotic Manipulators

Jacket Demby's, Jeffrey Uhlmann, Guilherme N. DeSouza

In this paper, we review and compare several velocity-level and acceleration-level Pseudo-Inverse-based Path Planning (PPP) and Pseudo-Inverse-based Repetitive Motion Planning (PRM…

cs.RO2023★ 1 cited

Choosing the Correct Generalized Inverse for the Numerical Solution of the Inverse Kinematics of Incommensurate Robotic Manipulators

Jacket Demby's, Jeffrey Uhlmann, Guilherme N. DeSouza

Numerical methods for Inverse Kinematics (IK) employ iterative, linear approximations of the IK until the end-effector is brought from its initial pose to the desired final pose. T…

cs.IR2023★ 2 cited

An Admissible Shift-Consistent Method for Recommender Systems

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. Our method provably guara…

cs.IR2023★ 4 cited

Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems

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. We demonstrate our approac…

math.NA2023

Generalizing Frobenius Inversion to Quaternion Matrices

Qiyuan Chen, J. Uhlmann, Ke Ye

In this paper we derive and analyze an algorithm for inverting quaternion matrices. The algorithm is an analogue of the Frobenius algorithm for the complex matrix inversion. On the…

cs.IR2023

Metric Search for Rank List Compatibility Matching with Applications

Wenqi Guo, Jeffrey Uhlmann

As online dating has become more popular in the past few years, an efficient and effective algorithm to match users is needed. In this project, we proposed a new dating matching al…