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

Weak Base Solutions03:21

Weak Base Solutions

25.3K
Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
25.3K
Weak Acid Solutions04:02

Weak Acid Solutions

43.3K
Few compounds act as strong acids. A far greater number of compounds behave as weak acids and only partially react with water, leaving a large majority of dissolved molecules in their original form and generating a relatively small amount of hydronium ions. Weak acids are commonly encountered in nature, being the substances partly responsible for the tangy taste of citrus fruits, the stinging sensation of insect bites, and the unpleasant smells associated with body odor. A familiar example of a...
43.3K
Attachment Styles01:24

Attachment Styles

456
Jeffrey Simpson's attachment theory suggests that early caregiver relationships shape lasting patterns of behavior and emotional regulation, known as attachment styles. These patterns are organized along two key dimensions: self-esteem and interpersonal trust. The intersection of these dimensions produces four primary attachment styles that typically persist throughout life and significantly influence how individuals form and maintain relationships.Secure Attachment StyleIndividuals with a...
456
Parenting Styles01:27

Parenting Styles

692
Diana Baumrind's four parenting styles — authoritarian, authoritative, neglectful, and permissive — each influence children's socio-emotional development differently.
Authoritarian Parenting
This style is strict and controlling, with little room for open dialogue. Authoritarian parents demand obedience and often enforce rules with minimal warmth. Children raised this way may lack social skills and initiative, usually comparing themselves to others unfavorably.
Authoritative...
692
Titration of a Weak Acid with a Weak Base01:08

Titration of a Weak Acid with a Weak Base

5.0K
Weak acids and bases do not undergo dissociation completely, and titrations between these two are rarely studied. When such studies are performed, say, for the titration of a weak acid with a weak base, the titration curve plots the change in pH as a function of the volume of base added. Take the titration of acetic acid with ammonia, for instance. During the titration, these two species form ammonium acetate and water, but the pH change is slow and gradual.
As a result, there is no simple...
5.0K
Hazan and Shaver's Attachment Styles01:28

Hazan and Shaver's Attachment Styles

500
Attachment theory, developed initially to explain infant–caregiver bonds, has been extended to illuminate patterns of intimacy in adult romantic relationships. Psychologists Cindy Hazan and Phillip Shaver proposed that the attachment styles observed in infancy form a framework for how individuals approach emotional closeness and conflict in adulthood. These attachment styles—secure, avoidant, and anxious—are linked to enduring patterns of behavior and emotional regulation in...
500

You might also read

Related Articles

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

Sort by
Same author

Engineered bacterial membrane vesicles as transdermal cancer vaccines.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Non-Fullerene Acceptor Photo-Charge Enabled Stretchable Photovoltaic Robustness Under 90% Tensile Strain and 30% Strain Cycles.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Large-scale Searching for Causal Relationships of Body Mass Index Bridged Modifiable Lifestyle Factors on Colorectal Cancer Risk: A phenome-Wide Mendelian Randomization Study.

Phenomics (Cham, Switzerland)·2026
Same author

Large-scale searching for causal relationships of milk consumption with multi-omics and disease susceptibility: A phenome-wide Mendelian randomization study.

Medicine·2026
Same author

A contamination-adjusted tissue thrombopoietic framework identifies a clinically relevant CAF-myeloid niche in non-small cell lung cancer: a paired transcriptomic and survival study.

Journal of translational medicine·2026
Same author

Multimodal analysis of hemodynamic and electrocortical causal interactions during auditory processing.

Journal of neural engineering·2026
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

514

Learning Consensus Representation for Weak Style Classification.

Shuhui Jiang, Ming Shao, Chengcheng Jia

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |July 11, 2018
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for style classification, particularly for challenging "weak style" images. The Consensus Style Centralizing Auto-Encoder (CSCAE) improves accuracy by learning robust style features and achieving consensus among visual features.

    More Related Videos

    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
    Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome
    08:31

    Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

    Published on: July 31, 2016

    14.5K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
    06:22

    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

    Published on: September 19, 2025

    514
    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
    Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome
    08:31

    Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

    Published on: July 31, 2016

    14.5K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Pattern Recognition

    Background:

    • Style classification is crucial in diverse fields like fashion, architecture, and manga.
    • Existing methods struggle with 'weak style' images, which are visually diverse and prone to misclassification.
    • A lack of consensus among different visual features hinders effective weak style classification.

    Purpose of the Study:

    • To develop a novel approach for robust style feature representation, specifically addressing the challenge of weak style images.
    • To introduce a method that learns consensus among multiple visual features for improved classification accuracy.
    • To enhance the performance of style classification systems, particularly in scenarios with limited or diverse examples.

    Main Methods:

    • Proposes a Style Centralizing Auto-Encoder (SCAE) for progressive centralization of weak style features.
    • Introduces Consensus Style Centralizing Auto-Encoder (CSCAE) with non-linear and linear versions, adaptively weighting features.
    • Incorporates consensus constraints, assuming similar weights for different features within a patch, and utilizes group sparsity in the linear CSCAE.

    Main Results:

    • The proposed SCAE and CSCAE methods demonstrate significant effectiveness in style classification tasks.
    • Experiments on fashion, manga, and architecture datasets show superior performance compared to state-of-the-art methods.
    • A new 'Online Shopping' dataset for fashion style classification was created and will be publicly released.

    Conclusions:

    • The CSCAE effectively learns robust style representations, outperforming existing methods, especially for weak style images.
    • The linear CSCAE offers improved efficacy and efficiency due to shared weights and group sparsity.
    • The developed methods and dataset contribute to advancing research in vision-based style classification.