相关实验视频

Updated: Jun 28, 2025

Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

5.2K

选择你自己的对手:自主监督图形对比学习与积极采样

Zehong Wang, Donghua Yu, Shigen Shen

    IEEE transactions on neural networks and learning systems
    |April 23, 2024
    PubMed
    概括

    图形阳性抽样 (GPS) 引入了一种新方法,以克服图形对比学习 (GCL) 中的抽样偏差. 这种方法提高了GCL模型的性能,而不需要真正的标签,提供了一个多功能解决方案.

    更多相关视频

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    524
    Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms07:31

    Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

    Published on: February 8, 2019

    6.6K

    相关概念视频

    Cluster Sampling Method01:20

    Cluster Sampling Method

    Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
    To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
    11.9K
    Types of Skewness01:09

    Types of Skewness

    If the frequency distribution of a data set is more inclined towards smaller or larger values, the distribution is said to be skewed. If data values are skewed to the right, then the distribution is called positively skewed. Conversely, if the plot is skewed to the left, the distribution is called negatively skewed.
    For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
    11.5K
    Convenience Sampling Method00:55

    Convenience Sampling Method

    Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
    Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
    8.9K
    Associative Learning01:27

    Associative Learning

    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...
    345
    Difference from Background: Limit of Detection01:05

    Difference from Background: Limit of Detection

    The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
    The LOD indicates the presence or absence...
    6.4K
    End Point Prediction: Gran Plot01:07

    End Point Prediction: Gran Plot

    A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
    For potentiometric titration, the Gran plot is created by plotting...
    318