A New Algorithm Using Support Vector Machines to Detect and Monitor Bloom-Forming Pseudo-nitzschia from OLCI Data.
Luis González VilasEvangelos SpyrakosYolanda PazosJesus M. Torres PalenzuelaPublished in: Remote. Sens. (2024)
Keyphrases
- detection algorithm
- input data
- data sets
- k means
- data analysis
- computational complexity
- database
- data collection
- experimental evaluation
- synthetic data
- noisy data
- learning algorithm
- prior information
- objective function
- preprocessing
- original data
- detection method
- similarity measure
- dimensional data
- worst case
- matching algorithm
- spatial data
- recognition algorithm
- real time
- dynamic programming
- cost function
- significant improvement
- high quality
- clustering algorithm
- computational cost
- synthetic datasets
- information loss
- incomplete data
- training data
- convergence rate
- data quality
- search algorithm
- prior knowledge
- query processing
- tree structure
- np hard
- clustering method