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The main aim of whitening is to reduce data redundancy
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
data-redundancy
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votes
1
answer
The major function of PCA is to decompose a ________________________ into a set of successive orthogonal components
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
pca-decompose
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CNN is mainly used in
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
cnn
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Confusion Matrix is a technique used to evaluate the performance of a classifier.
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
confusion-matrix
+1
vote
1
answer
Which preprocessing technique is used for dimensionality reduction?
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
preprocessing-technique
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True Positive is when _____________
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
prediction-true-positive
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The technique used to evaluate a classifier by dividing the data set into a train set to train the classifier and a test set to test the same is __________
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
image-classifier
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1
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Normalization is the process of converting ___________
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
normalization-process
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votes
1
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Confusion Matrix is not a technique used to evaluate the performance of a classifier
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
confusion-matrix
0
votes
1
answer
In the SVD method, a digital image is decomposed into ________ matrices
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
svd-method
digital-image
0
votes
1
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True Negative is when ______________
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
true-negative-prediction
0
votes
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answer
Cross validation gives high variance if the testing set and training set are not drawn from the ______________________
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
image-variance
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votes
1
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A normalized image has ___________
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
normalize-image
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votes
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answer
SIFT stands for ________________
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
sift
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votes
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Noise can be removed using Data Preprocessing
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Dec 23, 2021
in
Image Classification
by
rajeshsharma
data-preprocessing
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votes
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Data Partitioning will help us to know efficiency of model
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Dec 23, 2021
in
Image Classification
by
rajeshsharma
data-partitioning
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1
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Singular values obtained from the SVD process utilizes ___________
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
svd-process
0
votes
1
answer
Allowing training data to be included in testing data will give actual performance results
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
trainng-data
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votes
1
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Allowing training data to be included in testing data will not give actual performance results
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
image-testing-data
0
votes
1
answer
The major steps involved in image classification are ___________
asked
Dec 23, 2021
in
Image Classification
by
rajeshsharma
image-classification-steps
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votes
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answer
The data is split into _________ sets
asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
data-sets
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votes
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The steps involved in building a classification model are
asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
classification-model
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votes
1
answer
Conventional classification algorithms on image data
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Dec 22, 2021
in
Image Classification
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rajeshsharma
conventional-classification-algorithms
conventional
classification-algorithms
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votes
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answer
Scikit Learn is an machine learning python package.
asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
scikit-learn
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votes
1
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___________________________ is defined as the percentage of correct predictions
asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
correct-prediction
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votes
1
answer
CNN is a algorithm in which it comes under
asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
cnn-algorithm
0
votes
1
answer
Data Preprocessing is a step the raw data is converted into a form suitable for subsequent analysis
asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
data-preprocessing
raw-data
0
votes
1
answer
The main aim of using SIFT for feature extraction is to obtain features that are not sensitive to changes in scale, rotation, image resolution, illumination, etc.
asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
sift-features
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votes
1
answer
The main aim of using SIFT for feature extraction is to obtain features that are very sensitive to changes in scale, rotation, image resolution, illumination, etc.
asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
sift-use
0
votes
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In cross validation, the number of samples used for training the model is _____________
asked
Dec 22, 2021
in
Image Classification
by
rajeshsharma
cross-validation
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