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相关概念视频

State Space Representation01:27

State Space Representation

211
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27
Parseval's Theorem01:18

Parseval's Theorem

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Parseval's theorem is a fundamental concept in signal processing and harmonic analysis. It asserts that for a periodic function, the average power of the signal over one period equals the sum of the squared magnitudes of all its complex Fourier coefficients. This theorem, named after Marc-Antoine Parseval, provides a powerful tool for analyzing the energy distribution in signals.
Interestingly, Parseval's theorem also holds for the trigonometric form of the Fourier series, which...
522
Lateralization01:28

Lateralization

341
Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
341
Relating Angular And Linear Quantities - II01:05

Relating Angular And Linear Quantities - II

5.5K
In the case of circular motion, the linear tangential speed of a particle at a radius from the axis of rotation is related to the angular velocity by the relation:
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Relating Angular And Linear Quantities - I01:09

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If the rotational definitions are compared with the definitions of linear kinematic variables from motion along a straight line and motion in two and three dimensions, we can observe a mapping of the linear variables to the rotational ones.
When comparing the linear and rotational variables individually, the linear variable of position has physical units of meters, whereas the angular position variable has dimensionless units of radians, as it is the ratio of two lengths. The linear velocity...
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相关实验视频

Updated: Jul 10, 2025

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
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在纯文本语言模型中接地空间关系.

Gorka Azkune1, Ander Salaberria1, Eneko Agirre1

  • 1HiTZ Basque Center for Language Technologies - Ixa NLP Group, University of the Basque Country (UPV/EHU), M. Lardizabal 1, Donostia 20018, Basque Country, Spain.

Neural networks : the official journal of the International Neural Network Society
|November 22, 2023
PubMed
概括
此摘要是机器生成的。

纯文本语言模型 (LMs) 可以通过使用对象位置数据来学习空间推理. 在合成数据上进行预训练显著提高了性能,使得LM能够在空间任务上胜过视觉语言模型.

关键词:
深度学习是一种深度学习.语言模型 语言模型空间接地是指空间接地.

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Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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相关实验视频

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The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
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科学领域:

  • 自然语言处理自然语言处理.
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 空间推理是一个复杂的认知任务,对于理解视觉场景至关重要.
  • 当前的模型往往依赖于多式输入 (视觉和语言) 来进行空间理解.
  • 只有文本模型在没有明确的位置提示的情况下,在接地空间关系方面存在局限性.

研究的目的:

  • 调查只有文本语言模型 (LMs) 是否可以学习使用显式对象位置信息接地空间关系.
  • 评估预训练对合成数据集的影响,以改善LM的空间推理.
  • 与现有的视觉和语言模型相比,将仅文本LM的性能与位置接地进行比较.

主要方法:

  • 从视觉空间推理 (VSR) 数据集中的图像与来自对象探测器的对象位置令牌进行语言化.
  • 在合成生成的数据集上预训练纯文本LM,其中包含空间关系和位置数据.
  • 评估LM在VSR数据集上区分真实和假的空间关系的能力.

主要成果:

  • 只有文本的LM,当提供位置令牌和预训练时,在空间关系任务上显著提高了性能.
  • 提出的方法在VSR数据集上取得了最先进的结果,超过了视觉和语言模型.
  • LM 展示了概括能力,学习超出了合成数据中明确编码的空间规则.

结论:

  • 显式的对象位置信息使仅文本的LM能够有效地建立空间关系.
  • 对相关合成数据的训练对于在文本空间推理中实现高性能至关重要.
  • 这项研究在复杂的推理任务中提升了纯文本模型的功能,挑战了某些空间理解的多式联络输入的必要性.