Patent ID: 11875277
Assignee: KONINKLIJKE PHILIPS N.V.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 1:
2. The method of claim 1 further comprising:
providing a second plurality of labeled entity vectors as second context training data;
applying the approximation function to approximate, for each respective labeled entity vector of the second context training data, a second context label for the respective labeled entity vector data based on output of the composite similarity function and respective second context labels of the other labeled entity vectors of the second context training data; and
training a second context specific composite similarity function based on the composite similarity function, wherein training the second context specific composite similarity function includes learning second context weights for the plurality of template similarity functions using a second loss function based on output of application of the approximation function to the second context training data, wherein the second context weights are stored for use as part of the second context-specific composite similarity function.