Using Signal Processing in Tandem With Adapted Mixture Models for Classifying Genomic Signals.
Saish JaiswalShreya NemaHema A MurthyManikandan NarayananPublished in: CoRR (2022)
Keyphrases
- mixture model
- signal processing
- gaussian mixture model
- em algorithm
- density estimation
- image processing
- probabilistic model
- generative model
- expectation maximization
- pattern recognition
- signal acquisition
- model selection
- maximum likelihood
- independent component analysis
- language model
- signal analysis
- fourier transform
- high throughput
- unsupervised learning
- finite mixtures
- computer vision
- probability density function
- machine learning
- sparse representation
- model based clustering
- mixture components
- mixture modeling
- cross validation
- supervised learning
- object recognition
- training data
- information retrieval
- bayesian information criterion
- dirichlet distribution
- subspace analysis
- data sets