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

Atomic Nuclei: Types of Nuclear Relaxation

Atomic Nuclei: Types of Nuclear Relaxation

Nuclear relaxation restores the equilibrium population imbalance and can occur via spin–lattice or spin–spin mechanisms, which are first-order exponential decay processes.
In spin–lattice or longitudinal relaxation, the excited spins exchange energy with the surrounding lattice as they return to the lower energy level. Among several mechanisms that contribute to spin–lattice relaxation, magnetic dipolar interactions are significant. Here, the excited nucleus transfers energy to a nearby...

Relaxation of Skeletal Muscles

Relaxation of Skeletal Muscles

The period of muscle contraction primarily influences the duration of stimulation at the neuromuscular junction (NMJ), the presence of free calcium ions in the sarcoplasm, and the availability of energy or ATP to support contractions.
When an action potential reaches the axon terminal, it depolarizes the membrane and opens voltage-gated sodium channels. Sodium ions enter the cell, further depolarizing the presynaptic membrane. This depolarization causes voltage-gated calcium channels to open.

Behavior Therapy

Behavior Therapy

Behavior therapy incorporates diverse techniques rooted in classical conditioning principles to address maladaptive behaviors and anxiety disorders. These methods aim to reduce avoidance behaviors, foster adaptive coping mechanisms, and alter associations between stimuli and responses, making them effective in a wide range of therapeutic contexts.
Exposure therapy is a cornerstone of behavioral treatment for anxiety disorders. It involves systematic exposure to feared stimuli, either in real...

You might also read

Related Articles

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

Sort by

Same author

Stochastic model utilizing spectral and spatial characteristics.

IEEE transactions on pattern analysis and machine intelligence·2012

Same author

Pixel labeling by supervised probabilistic relaxation.

IEEE transactions on pattern analysis and machine intelligence·2011

Same author

Predicting the required number of training samples.

IEEE transactions on pattern analysis and machine intelligence·2011

Same author

Decision boundary feature extraction for neural networks.

IEEE transactions on neural networks·1997

Same journal

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026

Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 29, 2026

Mechanical Control of Relaxation Using Intact Cardiac Trabeculae

Mechanical Control of Relaxation Using Intact Cardiac Trabeculae

Published on: February 17, 2023

Adaptive relaxation labeling.

H M Kalayeh¹, D A Landgrebe

¹Object Recognition Systems, Inc., Princeton, NJ 08540.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 27, 2011

Summary

This summary is machine-generated.

Probabilistic relaxation labeling (PRL) using nonstationary compatibility coefficients (NSCCs) stabilizes labeling error early. A new noniterative algorithm with NSCCs offers similar performance for improved image analysis and computer vision applications.

More Related Videos

NMR 15N Relaxation Experiments for the Investigation of Picosecond to Nanoseconds Structural Dynamics of Proteins

NMR ¹⁵N Relaxation Experiments for the Investigation of Picosecond to Nanoseconds Structural Dynamics of Proteins

Published on: November 1, 2024

Reducing State Anxiety Using Working Memory Maintenance

Reducing State Anxiety Using Working Memory Maintenance

Published on: July 19, 2017

Related Experiment Videos

Last Updated: May 29, 2026

Mechanical Control of Relaxation Using Intact Cardiac Trabeculae

Mechanical Control of Relaxation Using Intact Cardiac Trabeculae

Published on: February 17, 2023

NMR 15N Relaxation Experiments for the Investigation of Picosecond to Nanoseconds Structural Dynamics of Proteins

NMR ¹⁵N Relaxation Experiments for the Investigation of Picosecond to Nanoseconds Structural Dynamics of Proteins

Published on: November 1, 2024

Reducing State Anxiety Using Working Memory Maintenance

Reducing State Anxiety Using Working Memory Maintenance

Published on: July 19, 2017

Area of Science:

Computer Vision
Image Processing
Artificial Intelligence

Background:

Current probabilistic relaxation labeling (PRL) relies on stationary compatibility coefficients (SCCs).
This approach often leads to divergence from the minimum achievable labeling error.
Existing methods struggle with stable convergence in labeling tasks.

Purpose of the Study:

To introduce nonstationary compatibility coefficients (NSCCs) for stabilizing PRL.
To demonstrate that NSCCs allow PRL to converge to the minimum error achieved early in iterations.
To propose a novel noniterative algorithm utilizing NSCCs.

Main Methods:

Modification of PRL to incorporate nonstationary compatibility coefficients (NSCCs).
Development of a noniterative labeling algorithm employing NSCCs.
Comparative analysis of the performance of modified PRL and the noniterative algorithm against standard PRL.

Main Results:

PRL with NSCCs demonstrates stabilized convergence around the minimum error found in early iterations.
The proposed noniterative algorithm achieves performance comparable to the modified PRL.
Both NSCC-based methods show improved stability over traditional SCC-based PRL.

Conclusions:

Nonstationary compatibility coefficients significantly enhance the stability and performance of probabilistic relaxation labeling.
A new noniterative approach using NSCCs provides an efficient alternative for labeling tasks.
These advancements offer more reliable and efficient solutions for image analysis and related fields.