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

Frustration and Conflict: Approach-Approach, Approach-Avoidance01:20

Frustration and Conflict: Approach-Approach, Approach-Avoidance

525
Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...
525
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

245
Body:Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to...
245
Information Processing Approach01:30

Information Processing Approach

558
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
558
Actuarial Approach01:20

Actuarial Approach

301
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
301
The Nativist Approach01:21

The Nativist Approach

430
The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...
430
Horney's Sociocultural Approach01:27

Horney's Sociocultural Approach

1.1K
Karen Horney's psychoanalytic theories emphasize the potential for self-realization and the importance of addressing social and cultural, rather than biological, factors in personality development. She challenged traditional Freudian views, particularly Freud's concept of "penis envy," which she argued stemmed from cultural influences rather than inherent biological differences. Horney believed that any sense of inferiority in women was a result of societal conditioning, such as...
1.1K

You might also read

Related Articles

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

Sort by
Same author

GarmentRec: Towards Individual Garment Reconstruction From a Monocular Human Image.

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

miR-184/<i>hamp</i>-Mediated Cardiotoxicity and Hepatotoxicity in Offspring Zebrafish Following Paternal Exposure to Environmentally Relevant Concentrations of Tris(1,3-dichloro-2-propyl) Phosphate.

Environmental science & technology·2026
Same author

Classification and metabolomic profiling of walnut pellicle polyphenols using a Pseudotargeted metabolomics approach.

Food chemistry: X·2026
Same author

Training tactile sensors to learn force sensing from each other.

Nature communications·2026
Same author

Construction of a Synthetic Shark-Derived Nanobody Library with Conserved CDR3 Tryptophan and Its Application in Screening Antibodies Targeting Urinary Tumor Biomarkers.

ACS biomaterials science & engineering·2025
Same author

Novel toxicity-associated metabolic pathways of benzotriazole UV stabilizers by cytochrome P450: mechanism-directed analysis.

Environment international·2025
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: Jan 28, 2026

Pavlovian Conditioned Approach Training in Rats
06:57

Pavlovian Conditioned Approach Training in Rats

Published on: February 4, 2016

11.4K

Side Information for Face Completion: A Robust PCA Approach.

Niannan Xue, Jiankang Deng, Shiyang Cheng

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |March 8, 2019
    PubMed
    Summary
    This summary is machine-generated.

    Robust principal component analysis (RPCA) is enhanced with side information for better visual data representation. New models improve UV completion and pose-invariant face recognition, even with missing data.

    More Related Videos

    Characterization at the Molecular Level using Robust Biochemical Approaches of a New Kinase Protein
    11:23

    Characterization at the Molecular Level using Robust Biochemical Approaches of a New Kinase Protein

    Published on: June 30, 2019

    6.7K
    Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
    08:38

    Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

    Published on: March 3, 2015

    13.9K

    Related Experiment Videos

    Last Updated: Jan 28, 2026

    Pavlovian Conditioned Approach Training in Rats
    06:57

    Pavlovian Conditioned Approach Training in Rats

    Published on: February 4, 2016

    11.4K
    Characterization at the Molecular Level using Robust Biochemical Approaches of a New Kinase Protein
    11:23

    Characterization at the Molecular Level using Robust Biochemical Approaches of a New Kinase Protein

    Published on: June 30, 2019

    6.7K
    Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
    08:38

    Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

    Published on: March 3, 2015

    13.9K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Data Science

    Background:

    • Robust Principal Component Analysis (RPCA) is vital for low-rank feature learning in visual data.
    • Standard RPCA struggles with high error corruption and missing values.
    • Domain-specific prior knowledge can improve RPCA performance.

    Purpose of the Study:

    • To propose two novel RPCA models incorporating side information.
    • To address challenges of missing values and significant error corruption.
    • To enhance UV completion for pose-invariant face recognition.

    Main Methods:

    • Developed two RPCA models utilizing domain-dependent side information.
    • Applied generative adversarial networks (GANs) to extract side information and subspaces.
    • Integrated extracted subspaces to aid data recovery and processing speed.

    Main Results:

    • Proposed models effectively handle missing values and corrupted data.
    • Achieved improved performance in UV completion tasks.
    • Demonstrated enhanced recovery and faster processing on large-scale datasets.

    Conclusions:

    • The novel RPCA models with side information offer robust solutions for visual data analysis.
    • GAN-extracted subspaces significantly boost recovery and efficiency.
    • The framework proves effective across synthetic and real-world datasets for face recognition.