Each image can be characterized by the pose, expression, eyes, and size. There are 32 images for each person capturing every combination of features. ...
image, classificationObservations come from 2 data streams (people flow in and out of the building), over 15 weeks, 48 time slices per day (half hour count aggregates). T...
time-series, multivariateThe data was collected for examining our newly developed classifier for multidimensional curves (multidimensional time series). Nine male speakers utter...
time-series, multivariate, classificationThe data is stored in relational form across several files. The central file (MAIN) is a list of movies, each with a unique identifier. These identifier...
multivariate, relationalThe abstracts, one per file, were furnished by the NSF (National Science Foundation). A sample abstract is shown in the next section. The bag-of-word d...
textThis data set is designed for testing indexing schemes in time series databases. It is a much larger dataset than has been used in any published study (...
time-series, univariateFrom the original readme file (please consult it for more information): ------------------------- The documents in the Reuters-21578 collection appeared...
text, classificationThis dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different c...
time-series, classification, clusteringThe instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Eac...
multivariate, classification