Computer Science
Experimental Result
100%
Convolutional Neural Network
43%
Feature Vector
39%
Support Vector Machine
38%
Expression Recognition
34%
Facial Expression
33%
Feature Extraction
33%
Recognition System
31%
Recognition Rate
28%
Adversarial Machine Learning
25%
Image Classification
18%
Handwriting Recognition
18%
Feature Selection
17%
Neural Network
16%
Handwritten Word Recognition
16%
Deep Learning Method
16%
classification approach
14%
Texture Descriptor
12%
local feature
12%
Recognition Accuracy
12%
Classification Performance
12%
document image
11%
Selection Method
11%
Extracted Feature
11%
Histopathological Image
11%
Ensemble Approach
10%
Learning Algorithm
10%
Support Vector
9%
Visual Feature
9%
Image Retrieval
9%
Reinforcement Learning
9%
Contextual Information
9%
Knowledge Distillation
9%
Information Retrieval
9%
Speed-up
9%
Classification Accuracy
9%
Representation Learning
9%
Genetic Algorithm
8%
Postprocessing
8%
Text To Speech
8%
Character Recognition
8%
Image Analysis
8%
binary classifier
7%
Deep Neural Network
7%
Local Phase Quantization
7%
Transfer Learning
7%
Autoencoder
7%
Wavelet Transform
7%
Dynamic Environment
7%
Concept Drift
7%
Keyphrases
Music Genre Classification
33%
Feature Vector
30%
Spectrogram
29%
Facial Expression Recognition
27%
Handwriting Recognition
24%
Automatic music Genre Classification
23%
Music Genre
22%
Large Vocabulary
21%
Audio Signal
21%
Adversarial Attack
20%
Recognition Rate
20%
Recognition System
20%
Histopathological Images
17%
Local Binary Pattern
16%
Audio
16%
Lexicon
15%
Music Database
15%
Classification Approach
15%
Latin music
14%
Ensemble Classifier
14%
Image Classification
13%
Convolutional Neural Network
13%
Musical Piece
13%
Ensemble Approach
13%
Music Signal
13%
Classification Accuracy
13%
Texture Descriptors
12%
Hidden Markov Model
12%
Feature Extracting
11%
Bird Diversity
11%
Textural Features
10%
Space Decomposition
10%
Concordance Correlation Coefficient
10%
Music Genre Recognition
10%
Deep Model
10%
Selection Strategy
10%
Handwritten Words
10%
Feature Selection Methods
9%
Document Image
9%
Reinforcement Learning Algorithm
9%
Bank Cheques
9%
Valence
9%
Automatic Extraction
9%
Background Pattern
9%
Support Vector Machine
9%
Classification Performance
9%
Extracting Features
9%
Word Recognition
8%
Speech-to-text
8%
Recognition Accuracy
8%
