arxiv.org/abs/1812.00190v1
Technology is shaping our lives in a multitude of ways. This is fuelled by a technology infrastructure, both legacy and state of the art, composed of a heterogeneous group of hardware, software, services and organisations. Such infrastructure faces a...
www.bing.com/ck/a?!&&p=b9e681bce3b073dfa31c8d1c247d11dd7d902322dac2b1af0b4defadabfcab57JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=3b0c6ec1-c684-68c1-053f-79d4c72b69f6&u=a1aHR0cHM6Ly9kZG9va3MuY29tL2NodW5rLWJhc2Utc2VlZC1tYXAv&ntb=1
Aug 20, 2025 · In this guide, we’ll dive deep into what the chunk base seed map is, how it works, what new features are available in 2025, and how you can use it to maximize your Minecraft experience.
github.com/fuenwang/3D-BoundingBox
PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry (⭐ 134)
www.reddit.com/r/todayilearned/comments/1rmnrh3/til_that_grapekun_a_humboldt_penguin_in_japan_was/
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www.reddit.com/r/interestingasfuck/comments/1rmo2z1/grapekun_a_humboldt_penguin_in_japan_was_rejected/
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arxiv.org/abs/2409.00163v1
Esophageal cancer is a major cause of cancer-related mortality internationally, with high recurrence rates and poor survival even among patients treated with curative-intent surgery. Investigating relevant prognostic factors and predicting prognosis...
arxiv.org/abs/2306.03052v1
Accurate crude oil price prediction is crucial for financial decision-making. We propose a novel reservoir computing model for forecasting crude oil prices. It outperforms popular deep learning methods in most scenarios, as demonstrated through rigor...
arxiv.org/abs/1404.6175v1
In this paper we deepen the understanding of the connection between two long-standing Graph Drawing open problems, that is, Simultaneous Embedding with Fixed Edges (SEFE) and Clustered Planarity (C-PLANARITY). In his GD'12 paper Marcus Schaefer prese...
arxiv.org/abs/2503.17244v1
Current end-to-end (E2E) and plug-and-play (PnP) image reconstruction algorithms approximate the maximum a posteriori (MAP) estimate but cannot offer sampling from the posterior distribution, like diffusion models. By contrast, it is challenging for...
arxiv.org/abs/2408.03281v2
Evaluation is the baton for the development of large language models. Current evaluations typically employ a single-item assessment paradigm for each atomic test objective, which struggles to discern whether a model genuinely possesses the required c...
arxiv.org/abs/2502.20427v2
Deepfakes - manipulated or forged audio and video media - pose significant security risks to individuals, organizations, and society at large. To address these challenges, machine learning-based classifiers are commonly employed to detect deepfake co...
arxiv.org/abs/cs/9909003v1
In tree search problem the best-first search algorithm needs too much of space . To remove such drawbacks of these algorithms the IDA* was developed which is both space and time cost efficient. But again IDA* can give an optimal solution for real v...
arxiv.org/abs/2404.13960v2
Double robustness (DR) is a widely-used property of estimators that provides protection against model misspecification and slow convergence of nuisance functions. Despite its widespread application, the theoretical foundation of DR remains underexplo...
arxiv.org/abs/2009.11479v1
We propose two new criteria to understand the advantage of deepening neural networks. It is important to know the expressivity of functions computable by deep neural networks in order to understand the advantage of deepening neural networks. Unless d...
www.reddit.com/r/VibeCodersNest/comments/1qdoh30/stuck_at_57_recall_on_my_ai_code_auditor_because/
**The Technical Problem:** I've got improved system prompts for CodeVibes (my open-source code security scanner) that boost detection metrics significantly. But they're 3000+ lines and won't fit in D...
arxiv.org/abs/2012.02529v1
Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous cars. Key performance factors are a fine range resolution and the possibility to directly measure velocity. With a rising number of radar sensors...
www.bing.com/ck/a?!&&p=528d900820fbf8a55f3c494473d43b3e57cd2c0ca08a2a1f2f394e5d94bf6028JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=0ce78413-5bf8-6193-28b0-93065a1960c8&u=a1aHR0cHM6Ly93d3cuZGljdGlvbmFyeS5jb20vYnJvd3NlL3BoYWxhbng&ntb=1
PHALANX definition: (in ancient Greece) a group of heavily armed infantry formed in ranks and files close and deep, with shields joined and long spears overlapping. See examples of phalanx used in a …
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The ancient Sumerian army fielded a standard six-man-deep phalanx; the first line went into battle carrying large, rectangular shields, and the troops bore heavy pikes and battle axes.
arxiv.org/abs/2406.04723v3
The detection of multiple extended targets in complex environments using high-resolution automotive radar is considered. A data-driven approach is proposed where unlabeled synchronized lidar data is used as ground truth to train a neural network with...
github.com/bterwijn/memory_graph
Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy. (⭐ 759)