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相关概念视频

Hybridization of Atomic Orbitals II03:35

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The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
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Collisions in Multiple Dimensions: Problem Solving01:06

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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
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通过混合蒸和结构提炼进行增强的交叉模式哈希.

Xiaoqing Liu, Zhiwen Yu, Kaixiang Yang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |October 23, 2025
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    概括

    本研究介绍了通过混合蒸和结构提炼 (HDSR) 进行增强的交叉模式哈希,这是一种半监督的方法,通过提炼结构表示和使用混合蒸来改善大型多媒体数据集的哈希.

    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 由于存储和计算需求较低,跨模式散列对于管理大型多媒体数据至关重要.
    • 无监督的哈希被缺乏准确的监督数据所限制.
    • 监督散列需要广泛的,昂贵的数据注释.

    研究的目的:

    • 提出一种新的半监督跨模块哈希方法 (HDSR),以解决数据注释的局限性.
    • 提高哈希代码生成的准确性和效率,以实现跨模式检索.
    • 为了提高哈希性能,利用部分标记的数据.

    主要方法:

    • HDSR使用点向意义对齐和列表向意义相似的部分顺序学习来学习模式间和实例间的相似性.
    • 它通过融合模式间的相似性来构建更高阶的亲和矩阵,以获得稳定的自我监督训练.
    • 混合蒸将精细的结构表示从标记到未标记的数据分支转移.

    主要成果:

    • HDSR有效地从部分标记的数据中提取精细的结构表示.
    • 势头融合策略促进了对未标记数据的稳定自主监督培训.
    • 在基准数据库上的实验结果表明HDSR的效率和优越性超过最先进的方法.

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    结论:

    • HDSR显著提高了跨模式哈希学习性能.
    • 该方法产生了紧而准确的哈希代码,性能优于现有的深度交叉模式哈希技术.
    • HDSR为半监督的跨模式散列挑战提供了有效的解决方案.