Classifier Instance:

Anchor text: JPEG 2000
Target Entity: JPEG_2000
Preceding Context: One use of wavelet approximation is in data compression. Like some other transforms, wavelet transforms can be used to transform data, then encode the transformed data, resulting in effective compression. For example,
Succeeding Context: is an image compression standard that uses biorthogonal wavelets. This means that although the frame is overcomplete, it is a tight frame (see types of Frame of a vector space), and the same frame functions (except for conjugation in the case of complex wavelets) are used for both analysis and synthesis, i.e., in both the forward and inverse transform. For details see wavelet compression.
Paragraph Title: Applications of discrete wavelet transform
Source Page: Wavelet

Ground Truth Types:

Predicted Types:

Type	Confidence	Decision
wordnet_artifact_100021939	-2.03727547328105	0
wordnet_event_100029378	1.6231591566174013	1
wordnet_act_100030358	-1.6038186290627436	0
wordnet_social_event_107288639	-1.4830514173910405	0
wordnet_happening_107283608	1.1624142200610192	1
wordnet_incident_107307477	-1.151229641278929	0
wordnet_trouble_107289014	-0.977513294658734	0
wordnet_beginning_107290905	-1.1870243436942993	0
wordnet_ending_107291312	-1.1803210201884047	0
wordnet_group_action_101080366	-1.9544678983011292	0
wordnet_organization_108008335	-2.46652282089165	0
wordnet_person_100007846	-2.5843163609713904	0
yagoGeoEntity	-2.9407016595266686	0