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

Physiological Correlates of Emotion Recognition11:55

Physiological Correlates of Emotion Recognition

17.1K
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California
The autonomic nervous system (ANS) controls the activity of the body's internal organs and regulates changes in their activity depending on the current environment. The vagus nerve, which innervates many of the internal organs, is an important part of the system. When our brain senses danger, vagal tone is inhibited, leading to a set of changes in the body designed to make us more prepared to...
17.1K
The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells11:45

The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells

10.1K
This protocol describes the cryoAPEX method, in which an APEX2-tagged membrane protein can be localized by transmission electron microscopy within optimally-preserved cell...
10.1K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

11.5K
This method aims at locating vertical subsurface defects. Here, we couple a laser with a spatial light modulator and trigger its video input to heat a sample surface deterministically with two anti-phased modulated lines while acquiring highly resolved thermal images. The defect position is retrieved from evaluating thermal wave interference...
11.5K
Regular Care and Maintenance of a Zebrafish (Danio rerio) Laboratory: An Introduction11:47

Regular Care and Maintenance of a Zebrafish (Danio rerio) Laboratory: An Introduction

91.8K
This protocol outlines regular maintenance and care to maintain optimal conditions for zebrafish husbandry. The video illustrates the protocol for system maintenance, regular housing, feeding, breeding, and raising of zebrafish...
91.8K
Fischer Projections02:18

Fischer Projections

16.3K
Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
16.3K
Newman Projections02:06

Newman Projections

20.4K
Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as...
20.4K

You might also read

Related Articles

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

Sort by
Same author

HP-Gaussian: Head Prior-Guided Gaussian Splatting for Personalized Talking Head Synthesis From Few-Second Video.

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

FreeKD+: A Frequency Knowledge Distillation Framework for Dense Prediction.

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

OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving.

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

Learning Action Distribution Flow for Open-Set Temporal Action Segmentation.

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

ProtoComp++: Diverse Point Cloud Completion With Controllable Prototype.

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

Alignment-Invertibility Regularization for Explainable Neural Networks.

IEEE transactions on pattern analysis and machine intelligence·2026

Related Experiment Video

Updated: Jan 20, 2026

The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells
11:45

The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells

Published on: February 27, 2020

10.1K

Regularized locality preserving projections and its extensions for face recognition.

Jiwen Lu1, Yap-Peng Tan

  • 1School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798. lujiwen@pmail.ntu.edu.sg

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|November 13, 2009
PubMed
Summary
This summary is machine-generated.

We introduce a new parametric regularized Locality Preserving Projections (LPP) method for improved face recognition. This approach enhances locality preservation and accuracy compared to standard LPP, also addressing small sample size issues.

More Related Videos

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.5K
Regular Care and Maintenance of a Zebrafish Danio rerio Laboratory: An Introduction
11:47

Regular Care and Maintenance of a Zebrafish Danio rerio Laboratory: An Introduction

Published on: November 18, 2012

91.8K

Related Experiment Videos

Last Updated: Jan 20, 2026

The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells
11:45

The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells

Published on: February 27, 2020

10.1K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.5K
Regular Care and Maintenance of a Zebrafish Danio rerio Laboratory: An Introduction
11:47

Regular Care and Maintenance of a Zebrafish Danio rerio Laboratory: An Introduction

Published on: November 18, 2012

91.8K

Area of Science:

  • Computer Vision
  • Machine Learning
  • Pattern Recognition

Background:

  • Locality Preserving Projections (LPP) is a dimensionality reduction technique.
  • Principal Component Analysis (PCA) is a common method for feature extraction.
  • Face recognition systems often face challenges with small sample sizes.

Purpose of the Study:

  • To develop a parametric regularized LPP method for enhanced face recognition.
  • To improve the locality preserving power and recognition accuracy of LPP.
  • To address the small sample size problem in manifold learning algorithms.

Main Methods:

  • A parametric regularization strategy is applied to the LPP framework.
  • Discriminant information is extracted from the whole feature space, not just a PCA subspace.
  • The method is evaluated on standard face recognition databases.

Main Results:

  • The proposed method demonstrates superior locality preserving capabilities compared to the original LPP.
  • Higher face recognition accuracy is achieved with the parametric regularized LPP.
  • The regularization technique effectively handles datasets with limited samples.

Conclusions:

  • Parametric regularized LPP offers significant improvements for face recognition tasks.
  • The regularization approach is versatile and applicable to other manifold learning algorithms.
  • This method provides a robust solution for face recognition, especially with limited data.