Tootfinder

One model to use them all: Training a segmentation model with complementary datasets
Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Marius Distler, J\"urgen Weitz, Stefanie Speidel
https://arxiv.org/abs/2402.19340

One model to use them all: Training a segmentation model with complementary datasets
Understanding a surgical scene is crucial for computer-assisted surgery systems to provide any intelligent assistance functionality. One way of achieving this scene understanding is via scene segmentation, where every pixel of a frame is classified and therefore identifies the visible structures and tissues. Progress on fully segmenting surgical scenes has been made using machine learning. However, such models require large amounts of annotated training data, containing examples of all relevant…

Localizability in de Sitter space for 2 1 dimensions
T. Raszeja, J. C. A. Barata
https://arxiv.org/abs/2404.18026 https://arxiv.org/p…

Localizability in de Sitter space for 2+1 dimensions
We extended the notion of Newton-Wigner localization, already constructed in the bi-dimensional de Sitter space, to the tri-dimensional case for both principal and complementary series. We identify the one-particle subspace, generated by the positive-energy modes solution of the Klein-Gordon equation, as an irreducible representation of the de Sitter group. The time-evolution of the Newton-Wigner operator was obtained explicitly, and for the complementary series the evolution is trivial, i.e., …

This https://arxiv.org/abs/2404.13249 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Additive Complementary Pairs of Codes
An additive code is an $\mathbb{F}_q$-linear subspace of $\mathbb{F}_{q^m}^n$ over $\mathbb{F}_{q^m}$, which is not a linear subspace over $\mathbb{F}_{q^m}$. Linear complementary pairs(LCP) of codes have important roles in cryptography, such as increasing the speed and capacity of digital communication and strengthening security by improving the encryption necessities to resist cryptanalytic attacks. This paper studies an algebraic structure of additive complementary pairs (ACP) of codes over …

Generating candidates in global optimization algorithms using complementary energy landscapes
Andreas M{\o}ller Slavensky, Mads-Peter V. Christensen, Bj{\o}rk Hammer
https://arxiv.org/abs/2402.18338

Generating candidates in global optimization algorithms using complementary energy landscapes
Global optimization of atomistic structure rely on the generation of new candidate structures in order to drive the exploration of the potential energy surface (PES) in search for the global minimum energy (GM) structure. In this work, we discuss a type of structure generation, which locally optimizes structures in complementary energy (CE) landscapes. These landscapes are formulated temporarily during the searches as machine learned potentials (MLPs) using local atomistic environments sampled …

This https://arxiv.org/abs/2402.17289 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Active propulsion noise shaping for multi-rotor aircraft localization
Multi-rotor aerial autonomous vehicles (MAVs) primarily rely on vision for navigation purposes. However, visual localization and odometry techniques suffer from poor performance in low or direct sunlight, a limited field of view, and vulnerability to occlusions. Acoustic sensing can serve as a complementary or even alternative modality for vision in many situations, and it also has the added benefits of lower system cost and energy footprint, which is especially important for micro aircraft. Th…

OT Unplugged: Community Of Practice Insights
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/ot-unplugged-community-of-practice-insights/

OT Unplugged | Great Australian Pods Podcast Directory
Podcast: OT Unplugged: Community Of Practice Insights Hosts: Sarah Collison, Nikki Cousins, and Alyce Svensk Category: Health & Fitness Sub-Category: Alternative & Complementary Health, Careers…

War Elephants: Rethinking Combat AI and Human Oversight
Philip Feldman, Aaron Dant, Harry Dreany
https://arxiv.org/abs/2404.19573 https://arxiv.org/pdf/2404.19573
arXiv:2404.19573v1 Announce Type: new
Abstract: This paper explores the changes that pervasive AI is having on the nature of combat. We look beyond the substitution of AI for experts to an approach where complementary human and machine abilities are blended. Using historical and modern examples, we show how autonomous weapons systems can be effectively managed by teams of human "AI Operators" combined with AI/ML "Proxy Operators." By basing our approach on the principles of complementation, we provide for a flexible and dynamic approach to managing lethal autonomous systems. We conclude by presenting a path to achieving an integrated vision of machine-speed combat where the battlefield AI is operated by AI Operators that watch for patterns of behavior within battlefield to assess the performance of lethal autonomous systems. This approach enables the development of combat systems that are likely to be more ethical, operate at machine speed, and are capable of responding to a broader range of dynamic battlefield conditions than any purely autonomous AI system could support.

MaskFi: Unsupervised Learning of WiFi and Vision Representations for Multimodal Human Activity Recognition
Jianfei Yang, Shijie Tang, Yuecong Xu, Yunjiao Zhou, Lihua Xie
https://arxiv.org/abs/2402.19258

MaskFi: Unsupervised Learning of WiFi and Vision Representations for Multimodal Human Activity Recognition
Human activity recognition (HAR) has been playing an increasingly important role in various domains such as healthcare, security monitoring, and metaverse gaming. Though numerous HAR methods based on computer vision have been developed to show prominent performance, they still suffer from poor robustness in adverse visual conditions in particular low illumination, which motivates WiFi-based HAR to serve as a good complementary modality. Existing solutions using WiFi and vision modalities rely o…

Generating candidates in global optimization algorithms using complementary energy landscapes
Andreas M{\o}ller Slavensky, Mads-Peter V. Christensen, Bj{\o}rk Hammer
https://arxiv.org/abs/2402.18338

Generating candidates in global optimization algorithms using complementary energy landscapes
Global optimization of atomistic structure rely on the generation of new candidate structures in order to drive the exploration of the potential energy surface (PES) in search for the global minimum energy (GM) structure. In this work, we discuss a type of structure generation, which locally optimizes structures in complementary energy (CE) landscapes. These landscapes are formulated temporarily during the searches as machine learned potentials (MLPs) using local atomistic environments sampled …

This https://arxiv.org/abs/2402.06081 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

A Computer Search of Primitive OBZCPs of Lengths up to 49
This paper aims to search for primitive optimal and sub-optimal Odd Binary Z-Complimentary Pairs (OBZCPs) for lengths up to 49. As an alternative to the celebrated binary Golay complementary pairs, optimal OBZCPs are the best almost-complementary sequence pairs having odd lengths. We introduce a computer search algorithm with complexity $O(2^N)$, where $N$ denotes the sequence length and then show optimal results for all $27 \le N \le 33$ and $N=37,41,49$. For those sequence lengths (i.e., $N=3…