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

Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K
Associative Learning01:27

Associative Learning

1.3K
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...
1.3K
Purposive Learning01:22

Purposive Learning

512
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
512
Observational Learning01:12

Observational Learning

992
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
992
Learning Disabilities01:25

Learning Disabilities

618
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
618
Introduction to Learning01:18

Introduction to Learning

1.2K
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Diagnosis of solitary extramedullary plasmacytoma located in the nasopharynx in a patient with acquired angioedema.

Postepy dermatologii i alergologii·2019
Same author

Markers of anaphylaxis - a systematic review.

Advances in medical sciences·2018
Same author

[Formula: see text]-Approximation for Graphic TSP.

Theory of computing systems·2015
See all related articles

Related Experiment Video

Updated: Feb 4, 2026

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.6K

Applying deep learning to right whale photo identification.

Robert Bogucki1, Marek Cygan2, Christin Brangwynne Khan3

  • 1deepsense.ai, Krancowa 5, 02-493, Warsaw, Poland.

Conservation Biology : the Journal of the Society for Conservation Biology
|September 28, 2018
PubMed
Summary

Automated photo identification using deep learning accurately identifies endangered North Atlantic right whales. This advance in image recognition can revolutionize wildlife population monitoring and data collection for conservation science.

Keywords:
Kaggle competitionKaggle 网站竞赛algorithmalgoritmoaprendizaje automáticoautomated image recognitioncompetencia Kagglecomputer visionconvolutional neural networksidentificación fotográficamachine learningphoto identificationreconocimiento automatizado de imágenesredes neurales convolucionalesvisión computarizada卷积神经网络机器学习照片识别算法自动图像识别计算机视觉

More Related Videos

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

10.8K
Photo-Induced Cross-Linking of Unmodified Proteins PICUP Applied to Amyloidogenic Peptides
08:40

Photo-Induced Cross-Linking of Unmodified Proteins PICUP Applied to Amyloidogenic Peptides

Published on: January 12, 2009

22.0K

Related Experiment Videos

Last Updated: Feb 4, 2026

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.6K
Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

10.8K
Photo-Induced Cross-Linking of Unmodified Proteins PICUP Applied to Amyloidogenic Peptides
08:40

Photo-Induced Cross-Linking of Unmodified Proteins PICUP Applied to Amyloidogenic Peptides

Published on: January 12, 2009

22.0K

Area of Science:

  • Conservation Science
  • Computer Science
  • Machine Learning

Background:

  • Photo identification is crucial for wildlife population studies, but manual matching is labor-intensive.
  • Automating this process can significantly improve efficiency and accuracy in data collection.

Purpose of the Study:

  • To develop and evaluate an automated system for identifying individual North Atlantic right whales (Eubalaena glacialis) using image recognition.
  • To leverage data science and deep learning to address challenges in wildlife population monitoring.

Main Methods:

  • A data science challenge was conducted on Kaggle to develop an automated identification system.
  • The winning solution employed convolutional neural networks for image processing, including region identification, rotation, cropping, and standardization.
  • The system then identified individual whales from standardized images.

Main Results:

  • The automated system achieved 87% accuracy in identifying individual North Atlantic right whales.
  • The workflow successfully standardized whale images for consistent identification.

Conclusions:

  • Deep learning and automated workflows offer a powerful tool to enhance wildlife population abundance and distribution studies.
  • This technology has the potential to revolutionize traditional data collection methods in conservation science.
  • Bridging the gap between data science and conservation science is essential for advancing ecological research.