Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates.
Ekaterina RiabchenkoKristian MeissnerIftikhar AhmadAlexandros IosifidisVille TirronenMoncef GabboujSerkan KiranyazPublished in: ICPR (2016)
Keyphrases
- fine grained
- coarse grained
- classification accuracy
- classification method
- feature set
- feature vectors
- feature extraction
- feature space
- svm classifier
- classification process
- classification models
- tightly coupled
- extracted features
- access control
- support vector
- feature selection
- class labels
- massively parallel
- machine learning
- co occurrence
- text classification
- image classification
- image features
- support vector machine svm
- support vector machine
- training set
- data provenance
- data lineage