Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Synthesis and Decomposition Reactions02:17

Synthesis and Decomposition Reactions

38.2K
Synthesis and decomposition are two types of redox reactions. Synthesis means to make something, whereas decomposition means to break something. The reactions are accompanied by chemical and energy changes. 
38.2K
Geometric Mean01:15

Geometric Mean

4.0K
The mean is a measure of the central tendency of a data set. In some data sets, the data is inherently multiplicative, and the arithmetic mean is not useful. For example, the human population multiplies with time, and so does the credit amount of financial investment, as the interest compounds over successive time intervals.
In cases of multiplicative data, the geometric mean is used for statistical analysis. First, the product of all the elements is taken. Then, if there are n elements in the...
4.0K
Geometric Sequences01:30

Geometric Sequences

286
In systems where values diminish by a constant proportion at each stage, the resulting sequence follows a geometric structure. Each new value in the sequence is obtained by applying a fixed multiplier to the preceding term. This regular, proportional decline type is often used to represent processes involving gradual loss, such as energy dissipation or reduction in amplitude over time.When analyzing the total effect of such a process across unlimited iterations, the series of values is referred...
286
What are Estimates?01:06

What are Estimates?

8.8K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.8K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

246
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
246
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

7.7K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
7.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Identification and Experimental Verification of Key Genes Related to the Ras Signaling Pathway and the Hippo Signaling Pathway in Osteoarthritis Based on Transcriptome Data.

The journal of gene medicine·2026
Same author

Visible-Light-Induced Radical Cascade Sulfonylation/Cyclization to Access Sulfonylated Benzazepines and Benzoxepines by EDA Complexes.

The Journal of organic chemistry·2026
Same author

The role of Poller screws in intramedullary nailing for lower limb extra-isthmic fractures.

Journal of orthopaedic surgery and research·2026
Same author

Dataset Distillation via a Noise-Unconstrained Generative Model.

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

AI framework for multidisease detection via retinal imaging.

Nature medicine·2026
Same author

Correction: Diagnostic accuracy of physical examination for the assessment of popliteal cysts: a meta-analysis.

Frontiers in medicine·2026
Same journal

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

IEEE transactions on cybernetics·2026
Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026
Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026
Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026
Same journal

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same journal

Prescribed-Time Impulsive Control of High-Order Integrator Systems.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Feb 2, 2026

Single Wavelength Shadow Imaging of Caenorhabditis elegans Locomotion Including Force Estimates
08:41

Single Wavelength Shadow Imaging of Caenorhabditis elegans Locomotion Including Force Estimates

Published on: April 18, 2014

9.7K

Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS.

Zhihua Chen, Ting Gao, Bin Sheng

    IEEE Transactions on Cybernetics
    |November 8, 2018
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel illumination estimation method for outdoor scenes, leveraging multiclass image cues. The approach accurately estimates illumination parameters without requiring prior scene knowledge, outperforming existing techniques.

    More Related Videos

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
    06:09

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

    Published on: September 8, 2023

    958
    Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
    06:52

    Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

    Published on: September 17, 2019

    6.8K

    Related Experiment Videos

    Last Updated: Feb 2, 2026

    Single Wavelength Shadow Imaging of Caenorhabditis elegans Locomotion Including Force Estimates
    08:41

    Single Wavelength Shadow Imaging of Caenorhabditis elegans Locomotion Including Force Estimates

    Published on: April 18, 2014

    9.7K
    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
    06:09

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

    Published on: September 8, 2023

    958
    Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
    06:52

    Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

    Published on: September 17, 2019

    6.8K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Artificial Intelligence

    Background:

    • Illumination estimation is crucial for image analysis but challenging for outdoor scenes.
    • Traditional methods often rely on scene-specific prior knowledge, limiting their applicability.
    • Accurate illumination estimation is vital for various computer vision applications.

    Purpose of the Study:

    • To develop an advanced illumination estimation approach for outdoor scenes.
    • To overcome limitations of traditional methods by reducing reliance on prior scene information.
    • To integrate multiclass image cues for robust illumination parameter estimation.

    Main Methods:

    • An optimization approach integrating multiclass image cues (main and auxiliary images).
    • Sun visibility estimation using an efficient broad learning system.
    • Image classification combining geometric and shadow information for scenes with visible sun.
    • Application of specific algorithms per class for illumination parameter estimation.
    • Integration of results using Markov random fields.

    Main Results:

    • The proposed method effectively estimates illumination parameters using only image data.
    • Qualitative results demonstrate superior performance compared to existing methods under similar conditions.
    • The approach successfully utilizes image cues without extra scene requirements.

    Conclusions:

    • The developed optimization approach provides a robust solution for outdoor scene illumination estimation.
    • This method offers a significant advancement over traditional techniques by eliminating the need for prior scene knowledge.
    • The integration of multiclass cues and advanced algorithms leads to improved accuracy and applicability.