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相关概念视频

Language Development01:22

Language Development

362
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.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
362
Language01:16

Language

213
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
213
Language and Cognition01:27

Language and Cognition

345
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.
345
Components of Language01:24

Components of Language

275
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.
275
Improving Translational Accuracy02:07

Improving Translational Accuracy

10.4K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
10.4K
Associative Learning01:27

Associative Learning

358
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
358

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相关实验视频

Updated: Jul 1, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

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综合性属性预测学习为人搜索语言.

Kai Niu, Linjiang Huang, Yuzhou Long

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 8, 2024
    PubMed
    概括

    本研究介绍了全面的属性预测学习 (CAPL),以更好地通过语言搜索人. CAPL增强了细粒度属性理解,在行人图像检索方面取得了最先进的结果.

    科学领域:

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

    背景情况:

    • 语言方法的当前人搜索与行人之间的细粒度区别作斗争.
    • 准确的行人识别需要捕捉微妙的视觉和文本差异.

    研究的目的:

    • 提出一种新的方法,即综合属性预测学习 (CAPL),以改进按语言搜索的人.
    • 为了增强细粒度语义属性的建模,以实现更具歧视性的表示.
    • 在行人检索任务中实现最先进的性能.

    主要方法:

    • 通过句子分析构建了一个语义属性词汇 (ATT-Vocab).
    • 开发了一个用于使用上下文智能和属性智能预测的高频特征的内声卡特征预测 (IAP) 模块.
    • 引入了属性完整性学习 (ACL) 模块,以捕捉低频,词汇之外的属性.

    主要成果:

    • 在CUHK-PEDES和ICFG-PEDES基准指标上,CAPL方法实现了最先进的检索性能.
    • 集成的IAP和ACL模块有效地捕获了词汇内和词汇外的语义属性.
    • 证明了对人搜索的改进的歧视性视觉和文本表示.

    结论:

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    • 通过CAPL方法,通过语言能力显著提升了人群搜索.
    • 显式属性预测学习对于检索中细粒度的语义理解至关重要.
    • 拟议的方法显示出强大的有效性和跨数据集的概括性.