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

Classification of Systems-II01:31

Classification of Systems-II

562
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
562
Classification of Systems-I01:26

Classification of Systems-I

668
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
668
Machines: Problem Solving II01:30

Machines: Problem Solving II

743
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
743
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

532
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
532
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

480
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
480

You might also read

Related Articles

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

Sort by
Same author

Local Injections of Fluorouracil for Eyelid Hordeolum.

Plastic and reconstructive surgery. Global open·2026
Same author

Global Research Trends and Thematic Evolution in Injectable Aesthetic Medicine: A 25-year Bibliometric Analysis (2000-2025).

Plastic and reconstructive surgery. Global open·2026
Same author

Real-time transesophageal echocardiography-guided surgical resection of hepatocellular carcinoma with inferior vena cava tumor thrombus: a case report.

AME case reports·2026
Same author

Transphyseal Proximal Humeral Aneurysmal Bone Cyst with Pathologic Fracture in a Child: A Case Report.

Diagnostics (Basel, Switzerland)·2026
Same author

Developing a nomogram based on admission AGR and CLR to predict subsequent surgical intervention in pediatric acute hematogenous osteomyelitis.

Scientific reports·2026
Same author

Endothelial SP1 lactylation promotes bronchopulmonary dysplasia via regulation of Cdkn1a expression.

Scientific reports·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: Mar 28, 2026

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.7K

Object Proposal Generation Using Two-Stage Cascade SVMs.

Ziming Zhang, Philip H S Torr

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |December 15, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an efficient object proposal generation method using cascade support vector machines (SVMs). The approach accelerates detection while maintaining high recall, improving computational efficiency for object recognition tasks.

    More Related Videos

    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
    08:27

    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

    Published on: January 5, 2024

    1.7K
    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    3.1K

    Related Experiment Videos

    Last Updated: Mar 28, 2026

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
    07:05

    Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

    Published on: October 27, 2016

    9.7K
    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
    08:27

    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

    Published on: January 5, 2024

    1.7K
    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    3.1K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Pattern Recognition

    Background:

    • Object proposal algorithms are crucial for object recognition and detection.
    • Existing methods face challenges in balancing high recall rates with low computational cost.
    • Accelerating proposal generation without sacrificing accuracy is a significant research interest.

    Purpose of the Study:

    • To propose a novel, computationally efficient object proposal generation method.
    • To improve the localization quality of object proposals.
    • To maintain high object detection recall rates.

    Main Methods:

    • A two-stage cascade support vector machine (SVM) approach is proposed.
    • The first stage learns linear filters for quantized scales/aspect-ratios.
    • The second stage employs a global linear classifier for calibration, followed by an efficient proposal calibration algorithm.

    Main Results:

    • The proposed method achieves comparable performance to state-of-the-art techniques.
    • Significant improvements in computational efficiency were observed.
    • Experiments on the VOC2007 dataset validate the method's effectiveness.

    Conclusions:

    • The cascade SVM-based object proposal method offers a superior balance of speed and accuracy.
    • This approach effectively addresses the need for efficient preprocessing in object detection pipelines.
    • The method presents a promising advancement for real-time computer vision applications.