Tootfinder

🗡️ ‘It was only a matter of time for Slim’: Eminem to kill off Slim Shady alter ego on new album
https://www.theguardian.com/music/2024/apr/26/eminem-to-kill-off-slim-shady-alter-ego-new-album-t…

OpenAI sieht Elon Musks Ego als Grund für Klage
Laut internen E-Mails von OpenAI sieht das Unternehmen die Klage von Elon Musk als gegenstandslos an. Es gehe vielleicht ehr um dessen Ego.
https://www.

ego_social: Ego networks in social media (2012)
Ego networks associated with a set of accounts of three social media platforms (Facebook, Google , and Twitter). Datasets include node features (profile metadata), circles, and ego networks, and were crawled from public sources in 2012.
This network has 492 nodes and 11773 edges.
Tags: Social, Online, Unweighted, Metadata

Single-Channel Robot Ego-Speech Filtering during Human-Robot Interaction
Yue Li, Koen V Hindriks, Florian Kunneman
https://arxiv.org/abs/2403.02918 https:/…

Single-Channel Robot Ego-Speech Filtering during Human-Robot Interaction
In this paper, we study how well human speech can automatically be filtered when this overlaps with the voice and fan noise of a social robot, Pepper. We ultimately aim for an HRI scenario where the microphone can remain open when the robot is speaking, enabling a more natural turn-taking scheme where the human can interrupt the robot. To respond appropriately, the robot would need to understand what the interlocutor said in the overlapping part of the speech, which can be accomplished by targe…

"Ich habe das Gefühl, für die Mehrheit der Dresdner zu sprechen, aber ich kann meine Ideen nicht umsetzen" - #Autoholger #Zastrow
Ein ziemlich stabiles Ego hat der Mann. Hoffen wir, dass er seine Ideen auch künftig nicht umsetzen kann.

Ohne FDP: So will Holger Zastrow in den Stadtrat von Dresden kommen
Nach seinem Austritt aus der FDP will Holger Zastrow mit einer eigenen Wählervereinigung zur Kommunalwahl im Juni an den Start gehen. Der Terminplan steht jetzt fest.

ego_social: Ego networks in social media (2012)
Ego networks associated with a set of accounts of three social media platforms (Facebook, Google , and Twitter). Datasets include node features (profile metadata), circles, and ego networks, and were crawled from public sources in 2012.
This network has 492 nodes and 11773 edges.
Tags: Social, Online, Unweighted, Metadata

🔊 #NowPlaying on BBCRadio2's #DanceSoundsOfThe90sWithVernonKay
Hysteric Ego:
🎵 Want Love
#HystericEgo
https://open.spotify.com/track/3X3Grn6VFw7VBpQ3Lz9eM2
https://retrosoundwave.bandcamp.com/album/hysteric-ego-want-love-2-versions

PAFOT: A Position-Based Approach for Finding Optimal Tests of Autonomous Vehicles
Victor Crespo-Rodriguez, Neelofar, Aldeida Aleti
https://arxiv.org/abs/2405.03326

PAFOT: A Position-Based Approach for Finding Optimal Tests of Autonomous Vehicles
Autonomous Vehicles (AVs) are prone to revolutionise the transportation industry. However, they must be thoroughly tested to avoid safety violations. Simulation testing plays a crucial role in finding safety violations of Automated Driving Systems (ADSs). This paper proposes PAFOT, a position-based approach testing framework, which generates adversarial driving scenarios to expose safety violations of ADSs. We introduce a 9-position grid which is virtually drawn around the Ego Vehicle (EV) and …

ego_social: Ego networks in social media (2012)
Ego networks associated with a set of accounts of three social media platforms (Facebook, Google , and Twitter). Datasets include node features (profile metadata), circles, and ego networks, and were crawled from public sources in 2012.
This network has 4039 nodes and 88234 edges.
Tags: Social, Online, Unweighted, Metadata

This https://arxiv.org/abs/2404.13288 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

PoseINN: Realtime Visual-based Pose Regression and Localization with Invertible Neural Networks
Estimating ego-pose from cameras is an important problem in robotics with applications ranging from mobile robotics to augmented reality. While SOTA models are becoming increasingly accurate, they can still be unwieldy due to high computational costs. In this paper, we propose to solve the problem by using invertible neural networks (INN) to find the mapping between the latent space of images and poses for a given scene. Our model achieves similar performance to the SOTA while being faster to t…