Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Design Example: Measuring Distance Between Two Points with Obstructions

Design Example: Measuring Distance Between Two Points with Obstructions

When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...

Manipulation and Analysis

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

Vector Algebra: Graphical Method

Vector Algebra: Graphical Method

Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...

Distance Corrections

Distance Corrections

To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...

Distance Measurements by Taping

Distance Measurements by Taping

Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...

Factors Influencing Attraction I: Proximity

Factors Influencing Attraction I: Proximity

Proximity plays a fundamental role in shaping interpersonal attraction by increasing opportunities for interaction and fostering familiarity. Research consistently demonstrates that individuals are more likely to form social bonds with those who are physically closer to them, whether in residential settings, workplaces, or educational institutions. This effect is largely driven by the increased frequency of encounters, which facilitates the development of friendships and romantic...

You might also read

Related Articles

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

Sort by

Same author

Novel role of Wip1 in p53-mediated cell homeostasis under non-stress conditions.

Cell cycle (Georgetown, Tex.)·2011

Same author

Globular adiponectin protects human umbilical vein endothelial cells against apoptosis through adiponectin receptor 1/adenosine monophosphate-activated protein kinase pathway.

Chinese medical journal·2011

Same author

Single-side organically functionalized Anderson-type polyoxometalates.

Chemistry (Weinheim an der Bergstrasse, Germany)·2011

Same author

Buildup of amphiphilic molecular bola from organic-inorganic hybrid polyoxometalates and their vesicle-like supramolecular assembly.

Chemistry (Weinheim an der Bergstrasse, Germany)·2011

Same author

Galphas-biased beta2-adrenergic receptor signaling from restoring synchronous contraction in the failing heart.

Science translational medicine·2011

Same author

The epidemiological, clinical, and laboratory features of sporadic Creutzfeldt-Jakob disease patients in China: surveillance data from 2006 to 2010.

PloS one·2011

Search research articles

Related Experiment Video

Updated: Oct 14, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Density-Based Distance Preserving Graph: Theoretical and Practical Analyses.

Li Wang, Haian Yin, Jin Zhang

IEEE Transactions on Neural Networks and Learning Systems

|November 8, 2021

Summary

This study introduces a novel graph construction method that preserves data distances in both input and latent spaces. It provides theoretical interpretations and practical guidance for hyperparameter tuning, enhancing graph-based learning applications.

More Related Videos

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

Related Experiment Videos

Last Updated: Oct 14, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

Area of Science:

Machine Learning
Graph Theory
Data Mining

Background:

Existing graph construction methods lack theoretical interpretation.
Previous approaches heuristically assigned graph weights.
A need exists for robust graph construction with distance preservation.

Purpose of the Study:

Provide theoretical guarantees for distance-preserving graph construction.
Offer practical guidance on hyperparameter selection for graph sparsity.
Establish a clear interpretation of graph weights based on optimality conditions.

Main Methods:

Estimating a density function of latent variables to retain pairwise distances.
Interpreting graph weights using optimality conditions and neighborhood graphs.
Developing systematic hyperparameter tuning strategies.

Main Results:

Theoretical interpretation of graph construction is established.
Systematic methods for hyperparameter setting are provided.
Extensions include varied measure functions, graph refinement, and computational cost reduction.

Conclusions:

The proposed graph construction method offers theoretical rigor and practical utility.
Experimental results validate theoretical findings and demonstrate competitive performance in semisupervised learning.
The work bridges the gap between heuristic graph construction and theoretical understanding.