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

Associative Learning01:27

Associative Learning

1.9K
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...
1.9K
Force Classification01:22

Force Classification

2.6K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.6K
Observational Learning01:12

Observational Learning

1.2K
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...
1.2K
Introduction to Learning01:18

Introduction to Learning

1.6K
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...
1.6K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

3.7K
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...
3.7K
Masking and Demasking Agents01:19

Masking and Demasking Agents

4.0K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Titanium dioxide nanoparticles relieve biochemical dysfunctions of fifth-instar larvae of silkworms following exposure to phoxim insecticide.

Chemosphere·2012
Same author

Mechanisms of prostate atrophy after LHRH antagonist cetrorelix injection: an experimental study in a rat model of benign prostatic hyperplasia.

Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban·2012
Same author

Simulation and experimental investigation of structural dynamic frequency characteristics control.

Sensors (Basel, Switzerland)·2012
Same author

Chronic clomipramine treatment restores hippocampal expression of glial cell line-derived neurotrophic factor in a rat model of depression.

Journal of affective disorders·2012
Same author

Application of nanoLC-MS/MS to the shotgun proteomic analysis of the nematocyst proteins from jellyfish Stomolophus meleagris.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2012
Same author

Identification of Sare0718 as an alanine-activating adenylation domain in marine actinomycete Salinispora arenicola CNS-205.

PloS one·2012
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Apr 3, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

18.1K

Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

Bing Li, Weihua Xiong, Ou Wu

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 22, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new context-aware multi-instance learning (CMIL) algorithm to accurately identify horror images and pinpoint disturbing regions. The CMIL algorithm enhances horror image recognition by analyzing contextual cues and visual saliency.

    Related Experiment Videos

    Last Updated: Apr 3, 2026

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    18.1K

    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Image Processing

    Background:

    • Horror content online is increasing, potentially impacting mental well-being.
    • Horror images possess distinct characteristics that can elicit strong emotional responses.
    • Effective recognition of horror imagery is crucial for content moderation and user safety.

    Purpose of the Study:

    • To develop a novel Context-Aware Multi-Instance Learning (CMIL) algorithm for automated horror image recognition.
    • To identify and localize specific regions within horror images that contribute to the perceived horror.
    • To improve the accuracy and efficiency of horror image detection systems.

    Main Methods:

    • A novel Context-Aware Multi-Instance Learning (CMIL) algorithm was developed.
    • Contextual cues among image regions were captured using a random walk on a contextual graph.
    • A fuzzy support vector machine (FSVM) was employed for heuristic optimization of the classifier.
    • A tensor analysis-based visual saliency model was proposed for improved CMIL initialization, using region saliency as initial fuzzy membership.

    Main Results:

    • The proposed CMIL algorithm effectively recognizes horror images.
    • The algorithm successfully identifies specific regions responsible for the horror sensation.
    • The tensor-based saliency model adaptively selects features and dynamically determines fusion weights.
    • Demonstrated effectiveness on two large-scale internet-collected image datasets.

    Conclusions:

    • The novel CMIL algorithm provides an effective approach for horror image recognition.
    • The integration of contextual information and visual saliency enhances detection accuracy.
    • This method offers a promising solution for managing and filtering disturbing online content.