In-Vehicle Occupancy Detection And Classification Using Machine Learning.
Malneedi VamsiK. P. SomanPublished in: ICCCNT (2020)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- decision trees
- supervised machine learning
- supervised learning
- vehicle detection
- machine learning algorithms
- unsupervised learning
- classification accuracy
- text classification
- computer vision
- feature extraction
- image classification
- support vector machine
- classification models
- support vector machine svm
- supervised classification
- object detection
- active learning
- feature selection
- automatic classification
- machine learning approaches
- false alarms
- inductive logic programming
- classification algorithm
- real time
- neyman pearson
- feature extraction and classification
- learning tasks
- detection method
- feature space
- data mining
- detection rate
- false positives
- cost sensitive
- class labels
- model selection
- natural language processing
- data analysis
- training data
- learning algorithm
- robust detection
- digital mammograms