9,197 results for deep

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Chunk Base Seed Map: The Ultimate Guide for Minecraft Players

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

fuenwang/3D-BoundingBox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry (⭐ 134)

arxiv.org/abs/2306.03052v1

Forecasting Crude Oil Prices Using Reservoir Computing Models

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

Deepening the Relationship between SEFE and C-Planarity

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

Deep End-to-End Posterior ENergy (DEEPEN) for image recovery

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/2502.20427v2

DeePen: Penetration Testing for Audio Deepfake Detection

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

Iterative Deepening Branch and Bound

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

Deepening the Understanding of Double Robustness Geometrically

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

Theoretical Analysis of the Advantage of Deepening Neural Networks

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...

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PHALANX Definition & Meaning | Dictionary.com

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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Phalanx | Ancient Greek Warfare Tactics & History | Britannica

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

A Deep Automotive Radar Detector using the RaDelft Dataset

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

bterwijn/memory_graph

Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy. (⭐ 759)