Tootfinder

Well that happened. Wollte eigentlich nur was nachschauen, kommt plötzlich ne #Fledermaus vorbeigeflogen. Drinnen. Nein, keine Fenster, muss irgendwo unbemerkt mit durch die Tür sein. Und da da nicht viel Verkehr ist kann das schon was her sein.
Nuja, prinzipiell nix ungewöhnliches hier. Kommt alle paar Jahre mal vor, dass sich wer verirrt. Fern halten¹, Tür auf, Fenster auf, die h…

Hey, Mast Scary Monsters and SUPERGEEKS - can any of you Mac mavens tell me why the Music app only reports 25,298 tracks in my music folder whereas Roon reports 73,062? (This is after drag and dropping the folder into Music, an empty library.)
I've looked online, found nowt apart from other frustrated Mac users.

Bango: subscription providers are reducing their reliance on direct acquisition strategies like social media ads due to rising costs and diminishing returns (Daniel Frankel/StreamTV Insider)
https://www.streamtvinsider.com/advertisin…

Bango: Subscription providers turn to bundling as direct acquisition marketing falters
Marketers of subscription services including those themed around streaming video and music are cutting back on once reliable direct acquisition strategies, including display and social media advert | A new Bango study concludes that subscription service providers are cutting back on once reliable direct acquisition strategies, including display and social media advertising, for customer growth and are turning to indirect marketing mechanisms like bundling.

Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
Chenheng Xu, Dan Wu, Yixin Zhu, Ying Nian Wu
https://arxiv.org/abs/2506.09174 htt…

Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
Multivariate long-term time series forecasting has been suffering from the challenge of capturing both temporal dependencies within variables and spatial correlations across variables simultaneously. Current approaches predominantly repurpose backbones from natural language processing or computer vision (e.g., Transformers), which fail to adequately address the unique properties of time series (e.g., periodicity). The research community lacks a dedicated backbone with temporal-specific inductiv…

Nonlinear Stochastic Filtering with Volterra Gaussian noises
Thomas Cass, Dan Crisan, Andrea Iannucci
https://arxiv.org/abs/2506.09637 https://

Nonlinear Stochastic Filtering with Volterra Gaussian noises
We consider a nonlinear filtering problem for a signal-observation system driven by a Volterra-type Gaussian rough path, whose sample paths may exhibit greater roughness than those of Brownian motion. The observation process includes a Volterra-type drift, introducing both memory effects and low regularity in the dynamics. We prove well-posedness of the associated rough differential equations and the Kallianpur-Striebel. We then establish robustenss properties of the filter and study the existe…

Anomaly Detection for Sensing Security
Stefan Roth, Aydin Sezgin
https://arxiv.org/abs/2506.10718 https://arxiv.org/pdf/2506.10718

Anomaly Detection for Sensing Security
Various approaches in the field of physical layer security involve anomaly detection, such as physical layer authentication, sensing attacks, and anti-tampering solutions. Depending on the context in which these approaches are applied, anomaly detection needs to be computationally lightweight, resilient to changes in temperature and environment, and robust against phase noise. We adapt moving average filters, autoregression filters and Kalman filters to provide predictions of feature vectors th…

finally got around to add dark mode to my website 😎 #todayilearned in the process about a neat #css function: invert()
h…

invert() - CSS | MDN
The invert() CSS function inverts the color samples in the input image. Its result is a .

🇺🇦 #NowPlaying on KEXP's #WoPop
Yuki Kawamura:
🎵 Magic feat. COLOR FILTER
#YukiKawamura
https://oiranmusic.bandcamp.com/track/magic-ft-color-filter
https://open.spotify.com/track/2INhi99Jf29SX7fYCWalHq

The Invariant Zonotopic Set-Membership Filter for State Estimation on Groups
Tao Li, Yi Li, Lulin Zhang, Jiuxiang Dong
https://arxiv.org/abs/2506.08530 htt…

The Invariant Zonotopic Set-Membership Filter for State Estimation on Groups
The invariant filtering theory based on the group theory has been successful in statistical filtering methods. However, there exists a class of state estimation problems with unknown statistical properties of noise disturbances, and it is worth discussing whether the invariant observer still has performance advantages. In this paper, considering the problem of state estimation with unknown but bounded noise disturbances, an Invariant Zonotopic Set-Membership Filter (InZSMF) method on groups is …

Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering
Yan Zhang, Li Deng, Lixin Duan, Sami Azam
https://arxiv.org/abs/2506.09898 h…

Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering
Metric learning has attracted extensive interest for its ability to provide personalized recommendations based on the importance of observed user-item interactions. Current metric learning methods aim to push negative items away from the corresponding users and positive items by an absolute geometrical distance margin. However, items may come from imbalanced categories with different intra-class variations. Thus, the absolute distance margin may not be ideal for estimating the difference betwee…