Tootfinder

i'm finna hike up to the used record store and see if i can sell some records
Machine-generated ALT: three photos showcase a collection of 12 diverse vinyl records, spanning genres such as rock, soul, jazz, Christmas music, and contemporary pop, featuring artists like Lucinda Williams, Frank Sinatra, Chick Corea, Ramsey Lewis, Lana Del Rey, Mavis Staples, and Hugh Masekela.

Gemeinsame Erklärung: G7-Datenschutzbehörden fordern "Kinderschutz by Design"
Jugendliche müssen besonders vor dem Missbrauch ihrer personenbezogenen Daten und "Dark Patterns" geschützt werden, sind sich Kontrolleure der G7-Staaten einig.

As #PrideMonth comes to an end, I wanted to share some AI-generated images created by my friend. 🏳️‍🌈
Although I’m generally skeptical of AI, I found this extremely queer! 🏳️‍🌈
#Pride #LGBTQIA

De Bruijn Tori Without Zeros: A Field-Theoretic Perspective
Ming Hsuan Kang, Yu Hsuan Hsieh
https://arxiv.org/abs/2506.19605 https://…

De Bruijn Tori Without Zeros: A Field-Theoretic Perspective
We present an algebraic construction of trace-based De Bruijn tori over finite fields, focusing on the nonzero variant that omits the all-zero pattern. The construction arranges nonzero field elements on a toroidal grid using two multiplicatively independent generators, with values obtained by applying a fixed linear map, typically the field trace. We characterize sampling patterns as subsets whose associated field elements form an \( \mathbb{F}_p \)-basis, and show that column structures cor…

Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
Yang Liu, Feng Wu, Xuefang Zhu
https://arxiv.org/abs/2506.19777 https:…

Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
Recommendation fairness has recently attracted much attention. In the real world, recommendation systems are driven by user behavior, and since users with the same sensitive feature (e.g., gender and age) tend to have the same patterns, recommendation models can easily capture the strong correlation preference of sensitive features and thus cause recommendation unfairness. Diffusion model (DM) as a new generative model paradigm has achieved great success in recommendation systems. DM's ability …

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/4]:
- KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sam...
Yu Wang, Xin Li, Shengzhao Weng, Gang Zhang, Haixiao Yue, Haocheng Feng, Junyu Han, Errui Ding
…

Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks
Yali Yuan, Weiyi Zou, Guang Cheng
https://arxiv.org/abs/2506.20082 https://

Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks
Website Fingerprinting (WF) attacks aim to infer which websites a user is visiting by analyzing traffic patterns, thereby compromising user anonymity. Although this technique has been demonstrated to be effective in controlled experimental environments, it remains largely limited to small-scale scenarios, typically restricted to recognizing website homepages. In practical settings, however, users frequently access multiple subpages in rapid succession, often before previous content fully loads.…

The Shape of Consumer Behavior: A Symbolic and Topological Analysis of Time Series
Pola Bereta, Ioannis Diamantis
https://arxiv.org/abs/2506.19759 https://…

The Shape of Consumer Behavior: A Symbolic and Topological Analysis of Time Series
Understanding temporal patterns in online search behavior is crucial for real-time marketing and trend forecasting. Google Trends offers a rich proxy for public interest, yet the high dimensionality and noise of its time-series data present challenges for effective clustering. This study evaluates three unsupervised clustering approaches, Symbolic Aggregate approXimation (SAX), enhanced SAX (eSAX), and Topological Data Analysis (TDA), applied to 20 Google Trends keywords representing major cons…

A scalable estimator of high-order information in complex dynamical systems
Alberto Liardi, George Blackburne, Hardik Rajpal, Fernando E. Rosas, Pedro A. M. Mediano
https://arxiv.org/abs/2506.18498

A scalable estimator of high-order information in complex dynamical systems
Our understanding of neural systems rests on our ability to characterise how they perform distributed computation and integrate information. Advances in information theory have introduced several quantities to describe complex information structures, where collective patterns of coordination emerge from high-order (i.e. beyond-pairwise) interdependencies. Unfortunately, the use of these approaches to study large neural systems is severely hindered by the poor scalability of existing techniques.…

Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology
Can Cui, Xindong Zheng, Ruining Deng, Quan Liu, Tianyuan Yao, Keith T Wilson, Lori A Coburn, Bennett A Landman, Haichun Yang, Yaohong Wang, Yuankai Huo
https://arxiv.org/abs/2506.19234

Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology
Anomaly detection has been widely studied in the context of industrial defect inspection, with numerous methods developed to tackle a range of challenges. In digital pathology, anomaly detection holds significant potential for applications such as rare disease identification, artifact detection, and biomarker discovery. However, the unique characteristics of pathology images, such as their large size, multi-scale structures, stain variability, and repetitive patterns, introduce new challenges t…