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相关概念视频

Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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Natural and Artificial Concepts01:24

Natural and Artificial Concepts

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In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Components of Language01:24

Components of Language

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
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时间视觉语义-诱导人类运动理解与大型语言模型.

Zheng Xing, Weibing Zhao

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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    此摘要是机器生成的。

    本研究介绍了使用大型语言模型 (LLM) 来从人类运动序列中引入时间视觉语义 (TVS),以改进无监督人类运动细分. 这种新的方法通过整合LLM衍生的文本运动信息来增强子空间聚类,以获得更好的准确性.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 机器学习 机器学习
    • 人工智能的人工智能

    背景情况:

    • 无监督人类运动细分 (HMS) 传统上依赖于子空间聚类.
    • 现有的方法往往忽视了运动序列中时间语义理解的关键方面.
    • 整合视觉和文本信息是人工智能研究中的一个不断增长的趋势.

    研究的目的:

    • 通过整合时间视觉语义 (TVS) 来增强无监督的人类运动细分.
    • 利用大型语言模型 (LLM) 的图像到文本功能来提取与运动相关的文本信息.
    • 开发一个新的子空间集群框架,集成TVS以提高细分性能.

    主要方法:

    • 通过查询对运动相似性,使用LLM从人类运动序列中提取TVS.
    • 开发一个 TVS 集成的子空间集群方法,使用时间调节器.
    • 基于细分输出的子空间嵌入的持续优化反支持框架的实施.

    主要成果:

    • 拟议的方法在四个基准人类运动数据集上显著优于现有的最先进的方法.
    • TVS的集成有效地提高了HMS的子空间聚类的性能.
    • 时间调节器和约束成功地将具有类似运动语义的组合在一起.

    结论:

    • 通过LLM获得的时间视觉语义为无监督人类运动细分提供了强大的新维度.
    • 拟议的TVS集成子空间集群方法为HMS提供了强大的和有效的解决方案.
    • 未来的工作可以探索更复杂的LLM交互,以便在运动分析中获得更丰富的语义理解.