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

Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...
Sugars as Energy Storage Molecules01:10

Sugars as Energy Storage Molecules

Sugar (a simple carbohydrate) metabolism (chemical reactions) is a classic example of the many cellular processes that use and produce energy. Living things consume sugar as a major energy source because sugar molecules have considerable energy stored within their bonds. Consumed carbohydrates have their origins in photosynthesizing organisms like plants. During photosynthesis, plants use the energy of sunlight to convert carbon dioxide gas into sugar molecules, like glucose. Because this...
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Sutures of the Skull01:22

Sutures of the Skull

The human skull is composed of several bones that come together to protect the brain and support the structures of the face. The junctions where these bones meet are called sutures.
Sutures are immobile joints between adjacent bones of the skull. The narrow gap between the bones is filled with dense, fibrous connective tissue that unites the bones. The long sutures located between the skull bones are not straight but instead follow irregular, tightly twisting paths. These twisting lines tightly...

You might also read

Related Articles

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

Sort by
Same author

Bi-allelic IARS mutations in a child with intra-uterine growth retardation, neonatal cholestasis, and mild developmental delay.

Clinical genetics·2016
Same author

Extensive heterosis in growth of yeast hybrids is explained by a combination of genetic models.

Heredity·2014
Same author

The use of objects' faces in interpreting line drawings.

IEEE transactions on pattern analysis and machine intelligence·2012
Same author

More about polyhedra-interpretation through constructions in the image plane.

IEEE transactions on pattern analysis and machine intelligence·2011
Same author

Experience with 100 liver transplant recipients at the Rabin Medical Center and Schneider Children's Medical Center.

Transplantation proceedings·2001
Same author

Transfusion-transmitted virus in liver-transplanted children.

Transplantation proceedings·2001

Related Experiment Video

Updated: May 29, 2026

Evaluation of the Productivity of Social Wasp Colonies (Vespinae) and an Introduction to the Traditional Japanese Vespula Wasp Hunting Technique
07:17

Evaluation of the Productivity of Social Wasp Colonies (Vespinae) and an Introduction to the Traditional Japanese Vespula Wasp Hunting Technique

Published on: September 11, 2019

A Note on Sugihara's Claim.

R Shapira1

  • 1Cognitive Information Processing Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139. Rafael, Haifa, Israel.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

This correspondence challenges Sugihara's theorem on line drawing structures, presenting a counterexample to demonstrate its invalidity. The findings question the theorem's foundational role in the original publication.

More Related Videos

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram
06:12

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Published on: March 13, 2018

Related Experiment Videos

Last Updated: May 29, 2026

Evaluation of the Productivity of Social Wasp Colonies (Vespinae) and an Introduction to the Traditional Japanese Vespula Wasp Hunting Technique
07:17

Evaluation of the Productivity of Social Wasp Colonies (Vespinae) and an Introduction to the Traditional Japanese Vespula Wasp Hunting Technique

Published on: September 11, 2019

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram
06:12

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Published on: March 13, 2018

Area of Science:

  • Computational Geometry
  • Mathematical Foundations of Computer Vision
  • Graph Theory

Background:

  • K. Sugihara's recent publication introduced a theorem concerning the mathematical structures of line drawings.
  • This theorem forms a significant basis for the methods and conclusions presented in the original paper.

Purpose of the Study:

  • To critically evaluate the validity of K. Sugihara's theorem on line drawing structures.
  • To present a counterexample that challenges the theorem's correctness.

Main Methods:

  • Mathematical analysis of line drawing representations.
  • Development and presentation of a specific counterexample to Sugihara's theorem.

Main Results:

  • A counterexample has been identified that demonstrates the theorem, as formulated, is not valid.
  • The validity of the theorem is shown to be compromised.

Conclusions:

  • The theorem by K. Sugihara, crucial for understanding line drawing structures, is not universally valid.
  • The findings necessitate a re-evaluation of the foundational aspects of the original publication.