A robust computational approach for jaw movement detection and classification in grazing cattle using acoustic signals.
Luciano Martínez RauJosé O. ChelottiSebastián R. VanrellJulio R. GalliSantiago A. UtsumiAlejandra M. PlanisichHugo Leonardo RufinerLeonardo L. GiovaniniPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- acoustic signals
- robust detection
- acoustic signal
- machine learning
- feature extraction
- pattern recognition
- support vector machine svm
- automatic classification
- classification scheme
- classification accuracy
- classification algorithm
- pattern classification
- classification systems
- feature extraction and classification
- mammogram images
- neyman pearson
- decision trees
- digital mammograms
- text localization and recognition
- automatic detection
- detection rate
- computer vision
- preprocessing
- detection algorithm
- feature vectors
- object detection
- image classification
- text classification
- model selection
- feature selection
- microcalcification clusters
- support vector
- active learning
- support vector machine
- false positives
- anomaly detection
- classification models
- partial occlusion
- training samples
- machine learning algorithms
- end to end
- classification method
- class labels