Computer Science
Tumor Segmentation
100%
Gaussian Mixture Model
76%
Image Segmentation
74%
markov chain monte-carlo
50%
Genetic Algorithm
29%
Random Decision Forest
26%
Convolutional Neural Network
23%
Fully Convolutional Network
17%
Bayesian Approach
17%
Segmentation Technique
17%
Normal Distribution
15%
Clustering Method
14%
Case Study
14%
Distribution Pattern
11%
Feature Selection
11%
Text Clustering
11%
Latent Dirichlet Allocation
11%
Imbalanced Data
11%
Laplacian Distribution
11%
Sampling Technique
11%
Topic Modeling
11%
Face Identification
11%
Multilayer Perceptron
11%
Unsupervised Learning
11%
Quality Characteristic
11%
Silhouette Coefficient
11%
Evaluation System
11%
segmentation accuracy
11%
Clustering Analysis
11%
Hierarchical Level
11%
Laplace Operator
11%
Automatic Segmentation
11%
Clustering Technique
11%
Detecting Outlier
11%
Outlier Detection
11%
Outlier Detection Method
11%
Secondary Schools
11%
Feature Extraction
11%
Tumor Detection
11%
Mean Algorithm
11%
U-Net
11%
Data Model
11%
Transfer Learning
11%
Support Vector Regression
11%
Points of Interest
11%
Goal Programming
8%
Learning System
8%
Machine Learning
8%
Coefficient Value
7%
Minority Class
6%
Engineering
Gaussian Mixture Model
86%
Bayesian Approach
47%
Normal Distribution
31%
Genetic Algorithm
29%
Region of Interest
26%
Parameter Estimation
25%
Quality Characteristic
23%
Mixture Distribution
23%
Optimum Number
21%
Feedforward
20%
Learning System
18%
Gaussians
17%
Return Period
16%
Segmentation Technique
15%
Response Surface Methodology
14%
Gaussian Mixture
14%
Long Short-Term Memory
14%
Support Vector Machine
14%
Model Parameter
13%
Delay Time
11%
Network Model
11%
Quantile
11%
Expectation Maximization Algorithm
11%
Transfer Learning
11%
Hidden Neuron
11%
Burrs
11%
Richter Model
11%
Feature Extraction
11%
Surface Model
11%
Point Process
11%
Self-Organizing Map
11%
Radiometer
11%
Dirichlet
11%
Anomaly Detection
11%
Estimation Result
11%
Outlier Detection
11%
Transfer Function
11%
Random Forest
11%
Gibbs Free Energy
11%
Secondary Schools
11%
Convolutional Neural Network
11%
Land Use
11%
Misclassification
10%
Monte Carlo Approach
10%
Error Value
9%
Pepper Noise
8%
Root Mean Square Error
7%
Maximum Likelihood Estimation
7%
Main Problem
7%
Fit Model
6%
Mathematics
Mixture Model
54%
Bayesian
53%
Gaussian Distribution
50%
Markov Chain Monte Carlo
39%
Finite Mixture Model
38%
Gaussian Mixture Model
35%
Magnetic Resonance Imaging
35%
Bayesian Approach
27%
Autoregressive Model
23%
Parameter Estimation
21%
Data Pattern
20%
Asymmetric
19%
Regression Model
17%
Neural Network
16%
Mixture Distribution
12%
Text Data
11%
Unstructured Data
11%
Response Surface
11%
Genetic Algorithm
11%
Laplace Operator
11%
Expectation-Maximization Algorithm
11%
Linear Unbiased Prediction
11%
Estimated Value
11%
Prediction Method
11%
Missing Value
11%
Outlier Detection
11%
Transfer Function
11%
Exogenous Variable
11%
Opinion Mining
11%
Secondary Schools
11%
Performance Model
7%
Simulation Study
7%
Skew-Normal Distribution
6%
Heavy Tail
6%
Auto Regressive Integrated Moving Average
6%
Markov Random Fields
6%
Monte Carlo Algorithm
5%
Hierarchical linear models
5%
Fat Tail
5%
Symmetric Distribution
5%
Model-Based Clustering
5%
Maximum Likelihood
5%
Monte Carlo Approach
5%
Negative Sign
5%
Positive Sign
5%
