See: Description
Interface | Description |
---|---|
MLROIFinder |
MLROIFinder - ROIFinder based on machine learning techniques.
|
ROIFinder | |
ROIProbability |
ROIProbability - the implementing class can return probabilities of a given sample being in a given class.
|
Class | Description |
---|---|
AdaptiveSGDROIFinder |
AdaptiveSGDROIFinder - machine learning ROI detector that locates regions of interest by maintaining a pool of SGD
classifiers.
|
ExternalROIFinder |
ExternalROIFinder - demonstrates one way to call external ROI applications by redirecting their standard input
and output streams.
|
MLROIConfFinder |
A Region of Interest (ROI) finder based on machine learning that provides both probabilities of its
classifications and the ability to define a confidence threshold.
|
PassiveAggressiveROIFinder |
PassiveAggressiveROIFinder - machine learning ROI detector that uses the Passive-Aggressive algorithm outlined in
"Online Passive-Aggressive Algorithms" K.
|
RESTROIFinder |
RESTROIFinder - makes calls to REST servers for detecting Regions Of Interest (ROI).
|
ROI |
Region Of Interest (ROI) - an object, signal, anomaly, etc.
|
ROIBundle |
ROIBundle - bundles an ROIFinder, a preprocessing DatasetOperation, and assorted metadata into a single "black box"
Region Of Interest finder for easier serialization and distribution of trained models.
|
SGDROIFinder |
SGDROIFinder - machine learning region of interest detection based on the Stochastic Gradient Descent (SGD)
algorithm.
|
SVMROIFinder |
SVMROIFinder - a Region Of Interest (ROI) finder based on an online Support Vector Machine (SVM).
|