STAT Search Analytics — The ultimate large-scale SEO insights tool
Track your search performance at scale, whether you’re juggling multiple sites, millions of pages, or just a ton of keywords. Quick access to daily,…
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perc…
Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last 30 years, enabling large-sca…
Storage Transfer Service | Google Cloud
Complete large-scale online data transfers from online and on-premises sources to Cloud Storage.
Large Scale R/C | Large Scale RC Forums
Jan 27, 2026 · Large Scale R/C Large Scale RC Electronics Discuss all the different types of large scale rc electronics such as servos, radios, and fail safes.
Large Scale R/C | Large Scale RC Forums
Jan 27, 2026 · Large Scale R/C Large Scale RC Electronics Discuss all the different types of large scale rc electronics such as servos, radios, and fail safes.
Large Scale RC Forums
Feb 20, 2026 · Large Scale Forums is a Large Scale RC fan site that was started to give Large Scale RC enthusiasts a place to come together and discuss and share their experiences with their large …
Large Scale RC Forums
Feb 20, 2026 · Large Scale Forums is a Large Scale RC fan site that was started to give Large Scale RC enthusiasts a place to come together and discuss and share their experiences with their large …
Scale (map) - Wikipedia
called large scale because the representative fraction is relatively large. For instance a town plan, which is a large-scale map, might be on a scale of 1:10
What is Large in Large-Scale? A Taxonomy of Scale for Agile Software Development
Positive experience of agile development methods in smaller projects has created interest in the applicability of such methods in larger scale projects. However, there is a lack of conceptual clarity regarding what large-scale agile software developm...
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Sc…
Large-scale models pre-trained on large-scale datasets have profoundly advanced the development of deep learning. However, the state-of-the-art models for medical image segmentation are still small-scale, with their parameters only in the tens of mil...
Super-speeds with Zero-RAM: Next Generation Large-Scale Optimization in Your Laptop!
This article presents the novel breakthrough general purpose algorithm for large scale optimization problems. The novel algorithm is capable of achieving breakthrough speeds for very large-scale optimization on general purpose laptops and embedded sy...
openai/large-scale-curiosity
Code for the paper "Large-Scale Study of Curiosity-Driven Learning" (⭐ 831)
cmWave/FR3 Large-Scale Channel Characterization for Urban Macro/Micro and Suburban Environ…
This study delves into the comprehensive characterization of large-scale channels at centimeter wave frequencies 7-15 GHz for urban macro/micro and suburban environments. Path-loss, large-scale fading, and angular channel statistics are presented. Ur...
ankitshah009/Task-4-Large-scale-weakly-supervised-sound-event-detection-for-smart-cars
Task 4 Large-scale weakly supervised sound event detection for smart cars (⭐ 68)
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Clic…
Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals. In this paper, we introduce MS MARCO Web Search, the first large-scale information-rich web dataset, featuring millions of real clicked...
Recurrent Diffusion for Large-Scale Parameter Generation
Parameter generation has long struggled to match the scale of today large vision and language models, curbing its broader utility. In this paper, we introduce Recurrent Diffusion for Large Scale Parameter Generation (RPG), a novel framework that gene...
Semi-Supervised Record Linkage for Construction of Large-Scale Sociocentric Networks in Re…
This paper presents a novel semi-supervised algorithmic approach to creating large scale sociocentric networks in rural East Africa. We describe the construction of 32 large-scale sociocentric social networks in rural Sub-Saharan Africa. Networks wer...
SHIYUANMING/large-scale-convex-optimization
Simulation Code for "Large-scale convex optimization for dense wireless cooperative networks" by Yuanming Shi, Jun Zhang, Brendan O'Donoghue, and Khaled B. Letaief, IEEE Trans. Signal Process., vol. 63, no. 18, Sept. 2015. (⭐ 67)
Spatiotemporal Arbitrage of Large-Scale Portable Energy Storage for Grid Congestion Relief
Energy storage has great potential in grid congestion relief. By making large-scale energy storage portable through trucking, its capability to address grid congestion can be greatly enhanced. This paper explores a business model of large-scale porta...
Towards Scalable Subscription Aggregation and Real Time Event Matching in a Large-Scale Co…
Although many scalable event matching algorithms have been proposed to achieve scalability for large-scale content-based networks, content-based publish/subscribe networks (especially for large-scale real time systems) still suffer performance deteri...
Large-scale structure of the universe - Wikipedia
The large-scale structure of the universe is the term in cosmology for the character of matter distribution at the scale of the entire observable universe
FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Sp…
We present FPGS, a feed-forward photorealistic style transfer method of large-scale radiance fields represented by Gaussian Splatting. FPGS, stylizes large-scale 3D scenes with arbitrary, multiple style reference images without additional optimizatio...
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields
We present FPRF, a feed-forward photorealistic style transfer method for large-scale 3D neural radiance fields. FPRF stylizes large-scale 3D scenes with arbitrary, multiple style reference images without additional optimization while preserving multi...
PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement…
Being difficult to scale poses great problems in multi-agent coordination. Multi-agent Reinforcement Learning (MARL) algorithms applied in small-scale multi-agent systems are hard to extend to large-scale ones because the latter is far more dynamic a...
MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond
Neural radiance fields (NeRF) and its subsequent variants have led to remarkable progress in neural rendering. While most of recent neural rendering works focus on objects and small-scale scenes, developing neural rendering methods for city-scale sce...
RoboChallenge: Large-scale Real-robot Evaluation of Embodied Policies
Testing on real machines is indispensable for robotic control algorithms. In the context of learning-based algorithms, especially VLA models, demand for large-scale evaluation, i.e. testing a large number of models on a large number of tasks, is beco...
Implementing Large-Scale Agile Frameworks: Challenges and Recommendations
Based on 13 agile transformation cases over 15 years, this article identifies nine challenges associated with implementing SAFe, Scrum-at-Scale, Spotify, LeSS, Nexus, and other mixed or customised large-scale agile frameworks. These challenges should...
PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Me…
The recent advances in deep learning (DL) have been accelerated by access to large-scale data and compute. These large-scale resources have been used to train progressively larger models which are resource intensive in terms of compute, data, energy,...
World In Your Hands: A Large-Scale and Open-source Ecosystem for Learning Human-centric Ma…
Large-scale pre-training is fundamental for generalization in language and vision models, but data for dexterous hand manipulation remains limited in scale and diversity, hindering policy generalization. Limited scenario diversity, misaligned modalit...
InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts
The advancement of Embodied AI heavily relies on large-scale, simulatable 3D scene datasets characterized by scene diversity and realistic layouts. However, existing datasets typically suffer from limitations in data scale or diversity, sanitized lay...
A large-scale study of the World Wide Web: network correlation functions with scale-invari…
We performed a large-scale crawl of the World Wide Web, covering 6.9 Million domains and 57 Million subdomains, including all high-traffic sites of the Internet. We present a study of the correlations found between quantities measuring the structural...
The BAHAMAS project: Effects of dynamical dark energy on large-scale structure
In this work we consider the impact of spatially-uniform but time-varying dark energy (or `dynamical dark energy', DDE) on large-scale structure in a spatially flat universe, using large cosmological hydrodynamical simulations that form part of the B...
Large-scale Video Classification guided by Batch Normalized LSTM Translator
Youtube-8M dataset enhances the development of large-scale video recognition technology as ImageNet dataset has encouraged image classification, recognition and detection of artificial intelligence fields. For this large video dataset, it is a challe...
Very-large-scale integration - Wikipedia
Very-large-scale integration (VLSI) is the process of creating an integrated circuit (IC) by combining millions or billions of MOS transistors onto a
Clusters as Tracers of Large-Scale Structure
By virtue of their high galaxy space densities and their large spatial separations, clusters are efficient and accurate tracers of the large-scale density and velocity fields. Substantial progress has been made over the past decade in the construct...
Local deployment of large-scale music AI models on commodity hardware
We present the MIDInfinite, a web application capable of generating symbolic music using a large-scale generative AI model locally on commodity hardware. Creating this demo involved porting the Anticipatory Music Transformer, a large language model (...
Large-scale inference with block structure
The detection of weak and rare effects in large amounts of data arises in a number of modern data analysis problems. Known results show that in this situation the potential of statistical inference is severely limited by the large-scale multiple test...
MUG-V 10B: High-efficiency Training Pipeline for Large Video Generation Models
In recent years, large-scale generative models for visual content (\textit{e.g.,} images, videos, and 3D objects/scenes) have made remarkable progress. However, training large-scale video generation models remains particularly challenging and resourc...
HAVEN: High-Bandwidth Flash Augmented Vector Engine for Large-Scale Approximate Nearest-Ne…
Retrieval-Augmented Generation (RAG) relies on large-scale Approximate Nearest Neighbor Search (ANNS) to retrieve semantically relevant context for large language models. Among ANNS methods, IVF-PQ offers an attractive balance between memory efficien...
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over a half-billion hand-labeled points spanning 10 square kilometers of area and eight object categories. Large annotated point cloud dat...