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相关概念视频

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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Classification of Systems-II01:31

Classification of Systems-II

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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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Hierarchy of Motor Control01:18

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The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
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Collisions in Multiple Dimensions: Introduction01:05

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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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How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
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    调试复杂的层次对象分类模型具有挑战性. MuCHEx是一个多式联机交谈系统,使用自然语言和视觉交互来更容易地对细粒度物体识别系统进行上下文感知调试.

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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
    • 人与计算机的交互

    背景情况:

    • 对象识别,特别是细粒度分类,是计算机视觉的一个核心挑战.
    • 在等级分类任务中,模型复杂度和数据规模的增加使调试复杂化.
    • 现有的调试方法缺乏灵活性和适应性解释,以满足各种用户需求.

    研究的目的:

    • 介绍 MuCHEx,一个用于交互式调试的新型多式联络对话系统.
    • 为了增强层次对象分类模型的调试过程.
    • 为了在模型调试过程中实现灵活,上下文意识的探索.

    主要方法:

    • MuCHEx将自然语言处理与视觉交互相结合.
    • 该系统提供适应性解释,根据用户的任务量身定制信息.
    • 它支持灵活的,高层次的查询和用于调试的直接操作.

    主要成果:

    • MuCHEx可以更直观,更有效地调试复杂模型.
    • 多式联络方法将语言表达力与视觉精度相结合.
    • 通过适应性,相关的信息浮出水面来实现上下文感知探索.

    结论:

    • MuCHEx在调试层次对象分类系统方面取得了重大进展.
    • 自然语言和视觉交互的融合提高了用户体验和调试效率.
    • 该系统解决了调试大规模细粒度分类模型日益复杂的问题.