PR-Feature Extraction

PR-Feature Extraction

University

10 Qs

quiz-placeholder

Similar activities

SKB Pedagogik 3 (wiwinz)

SKB Pedagogik 3 (wiwinz)

University - Professional Development

15 Qs

Blended Learning Models

Blended Learning Models

KG - University

11 Qs

Item Construction

Item Construction

University - Professional Development

10 Qs

Creative content (1)

Creative content (1)

University

15 Qs

Limits, fits and tolerance

Limits, fits and tolerance

University

11 Qs

SEM with SmartPLS

SEM with SmartPLS

University - Professional Development

10 Qs

Overview of Communication

Overview of Communication

12th Grade - University

15 Qs

PR-Feature Extraction

PR-Feature Extraction

Assessment

Quiz

Professional Development

University

Practice Problem

Easy

Created by

Mrs. 1197

Used 47+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Choose the qualitative feature of a pattern recognition system.

Shape of the face

Heart rate in beats per minute

Width of the nose in pixels

Amplitude of a sound wave

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Choose the feature vector components of a facial recognition system.

Shape, color, and texture of facial features

Frequency of sound waves

Document word count

Stock market trends

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Evaluate the reason for dimensionality reduction needed in high-dimensional datasets.

To prevent the curse of dimensionality

To increase the number of features

To complicate machine learning algorithms

To reduce training efficiency

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Choose an example of qualitative feature for sound analysis.

Sound category

Amplitude in decibels

Frequency bands

Duration in seconds

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Choose the inappropriate feature for ECG analysis.

Language type

QRS duration

T-wave amplitude

PR interval

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Choose the method for reducing redundancy in feature extraction.

Principal Component Analysis

Sequential Backward Elimination

Kernel PCA

Genetic Algorithms

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Choose the feature vector components for a text analysis system.

Sentence length

Eye color

Pixel intensity

ECG amplitude

Create a free account and access millions of resources

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?