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相关概念视频

Predator-Prey Interactions02:39

Predator-Prey Interactions

21.7K
Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
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Velocity of an Object01:18

Velocity of an Object

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Understanding how an object moves along a path requires distinguishing between motion over a time span and motion at a precise moment. A useful example is a vehicle traveling along a straight and level path, where its position at any given time is known. The initial step in analyzing this motion is to measure how far the vehicle travels over a fixed time period. This measurement, called average velocity, is computed by dividing the total change in position by the duration over which the change...
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Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

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A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
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Potential Due to a Magnetized Object01:24

Potential Due to a Magnetized Object

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Magnetic dipoles in magnetic materials are aligned when placed under an external magnetic field. For paramagnets and ferromagnets, dipole alignment occurs in the direction of the magnetic field. However, the dipoles align opposite to the field in the case of diamagnets. This state of magnetic polarization due to the external field is called magnetization. Magnetization is defined as the dipole moment per unit volume. It plays a similar role to polarization in electrostatics.
The vector...
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Associative Learning01:27

Associative Learning

1.3K
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...
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相关实验视频

Updated: Feb 5, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

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维洛德:将视觉交互标签与对象检测主动学习相结合

Isac Holm, Rafael M Martins, Claudio D G Linhares

    IEEE computer graphics and applications
    |February 3, 2026
    PubMed
    概括
    此摘要是机器生成的。

    为物体检测 (OD) 模型创建高质量的注释数据集是一项挑战. 一个名为VILOD的新工具使用交互式可视化和主动学习 (AL) 来提高数据集创建效率和模型性能.

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    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
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    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice

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    Immunohistochemical Visualization of Hippocampal Neuron Activity After Spatial Learning in a Mouse Model of Neurodevelopmental Disorders
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    Immunohistochemical Visualization of Hippocampal Neuron Activity After Spatial Learning in a Mouse Model of Neurodevelopmental Disorders

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    相关实验视频

    Last Updated: Feb 5, 2026

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    12.2K
    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
    08:52

    Novel Object Recognition Test for the Investigation of Learning and Memory in Mice

    Published on: August 30, 2017

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    Immunohistochemical Visualization of Hippocampal Neuron Activity After Spatial Learning in a Mouse Model of Neurodevelopmental Disorders
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    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:

    • 高质量的注释数据集对于训练可靠的物体检测 (OD) 模型至关重要.
    • 目前用于创建数据集的方法往往面临规模和质量的限制.
    • 积极学习 (AL) 提供了一种有前途的方法来优化注释工作.

    研究的目的:

    • 介绍VILOD,一个设计用于高效的OD注释的视觉交互标签工具.
    • 将主动学习 (AL) 与交互可视化集成为一个HITL工作流程.
    • 为了使专业用户能够实施战略性的,视觉指导的标签策略.

    主要方法:

    • 开发VILOD,一个新的交互式标签工具.
    • 将AL与交互式可视化集成在一起,以实现透明和可引导的注释.
    • 对视觉指导策略与自动AL基线进行评估的比较案例研究.

    主要成果:

    • 视觉引导的标签策略,特别是平衡的人为导向的方法,超过了自动化的AL基线.
    • 维洛德的视觉线索促进了数据结构和模型不确定性信息的合成.
    • 人为导向的战略实现了最高的整体OD模型性能.

    结论:

    • 交互式,视觉引导的注释显著提高了OD数据集创建的效率和有效性.
    • 维洛德使专家用户能够开发出卓越的标签策略.
    • 视觉智能增强的人在循环 (HITL) 工作流是推进OD模型培训的关键.