Pattern Recognition

This research has produced datasets that can be used openly for other researchers. The dataset is compiled from images of woven fabrics originating from the East Nusa Tenggara Province of Indonesia. A total of 68 fabrics from six districts have been grouped and gone through the image embedding process to become RAW numerical data for further processing. By using Logistic Regression, the classifier accuracy rate for this dataset is only 79.4%. For that other researchers can contribute to improve this accuracy.

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Each record in the dataset includes 7 fields:

UserID, CurrentChannel, NextChannel, Date, TimeSection, StartTime, Duration. 

The meanings of them are respectively as follows,

1. UserID : the number of a user, sorted in descending order by the number of channels he/she has switched during the period of time; [1, 13246].

2. CurrentChannel: the channel ID viewed by the user in the current time section.

3. NextChannel: the channel ID which the user would view in the next time section.

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Depths to the various subsurface anomalies have been the primary interest in all the applications of magnetic methods of geophysical prospection. Depths to the subsurface geologic features of interest are more valuable and superior to all other properties in any correct subsurface geologic structural interpretations.

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Dataset for Telugu Handwritten Gunintam

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617 Views