Jove
Visualize
联系我们

相关概念视频

Problem-Solving01:29

Problem-Solving

195
Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
195
Machines: Problem Solving II01:30

Machines: Problem Solving II

335
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
335
Machines: Problem Solving I01:22

Machines: Problem Solving I

355
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
355
Cognitive Learning01:21

Cognitive Learning

421
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
421
Principle of Moments: Problem Solving01:30

Principle of Moments: Problem Solving

869
The principle of moments is a fundamental concept in physics and engineering. It refers to the balancing of forces and moments around a point or axis, also known as the pivot. This principle is used in many real-life scenarios, including construction, sports, and daily activities like opening doors and pushing objects.
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...
869
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

765
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
765

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

An Algebraic Geometry Approach to Viewing Graph Solvability.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

CoVAMPnet: Comparative Markov State Analysis for Studying Effects of Drug Candidates on Disordered Biomolecules.

JACS Au·2024
Same author

PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

Trifocal Relative Pose From Lines at Points.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

The Effect of Specimen Size on Acoustic Emission Parameters and Approximate Position of Defects Obtained during Destructive Testing of Cementitious and Alkali-Activated Degraded Fine-Grained Materials.

Materials (Basel, Switzerland)·2023
Same author

Revisiting Viewing Graph Solvability: An Effective Approach Based on Cycle Consistency.

IEEE transactions on pattern analysis and machine intelligence·2022
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jul 18, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.0K

学习解决困难的最小问题.

Petr Hruby, Timothy Duff, Anton Leykin

    IEEE transactions on pattern analysis and machine intelligence
    |August 23, 2023
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种新的学习策略,可以在RANSAC框架内有效地解决复杂的几何优化问题. 该方法通过避免虚假的解决方案,显著减少了计算,从而使多个摄像头的相对姿势估计速度更快.

    更多相关视频

    Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
    07:01

    Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

    Published on: September 20, 2020

    4.8K
    The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
    14:14

    The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

    Published on: May 13, 2022

    5.9K

    相关实验视频

    Last Updated: Jul 18, 2025

    Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
    10:26

    Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

    Published on: September 11, 2021

    4.0K
    Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
    07:01

    Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

    Published on: September 20, 2020

    4.8K
    The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
    14:14

    The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

    Published on: May 13, 2022

    5.9K

    科学领域:

    • 计算机视觉 计算机视觉
    • 几何优化的优化 几何优化
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 几何优化问题是计算机视觉和机器人的基础.
    • 随机样本共识 (RANSAC) 框架被广泛使用,但对于复杂的问题来说,它可能是计算密集的.
    • 在RANSAC中最小的问题放松可以产生许多虚假的解决方案,阻碍效率.

    研究的目的:

    • 在RANSAC框架内开发一种有效的方法来解决困难的几何优化问题.
    • 为了避免计算大量虚假的解决方案.
    • 创建一个学习策略,选择有效的初始问题解决方案对进行数值连续.

    主要方法:

    • 开发了一个学习策略来选择一个开始的问题解决方案对.
    • 使用数值连续来达到所需的问题和解决方案.
    • 实现了一个RANSAC解决器,用于对三个校准相机的相对姿势估计,使用最小的四点放松.
    • 两个校准相机的相对姿势估计的基准性能,使用最小的五点场景.

    主要成果:

    • 建议的方法有效地避免计算大量的虚假解决方案.
    • 三个校准相机的RANSAC解决器平均解决时间低于70微秒.
    • 该方法证明了效率,并提供了对几何优化工程选择的见解.

    结论:

    • 这种新的学习策略显著提高了在RANSAC中解决困难的几何优化问题的效率.
    • 该方法为相对位置估计任务提供了实用和快速的解决方案.
    • 这种方法有可能改善各种计算机视觉和机器人应用中的实时性能.