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Unsupervised Learning

Lecture Notes in Computer Science, 2004
Zoubin Ghahramani
exaly   +2 more sources

Unsupervised Video Surveillance

2011
This paper addresses the problem of automatically learning common behaviors from long time observations of a scene of interest, with the purpose of classifying actions and, possibly, detecting anomalies. Unsupervised learning is used as an effective way to extract information from the scene with a very limited intervention of the user.
NOCETI, NICOLETTA, ODONE, FRANCESCA
openaire   +3 more sources

An unsupervised attribute clustering algorithm for unsupervised feature selection

2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015
The curse of dimensionality refers to the problem that one faces when analyzing datasets with thousands or hundreds of thousands of attributes. This problem is usually tackled by different feature selection methods which have been shown to effectively reduce computation time, improve prediction performance, and facilitate better understanding of ...
Pei-Yuan Zhou, Keith C. C. Chan
openaire   +1 more source

Unsupervised Recognition of ADLs

2010
In this paper we present an approach to the unsupervised recognition of activities of daily living (ADLs) in the context of smart environments The developed system utilizes background domain knowledge about the user activities and the environment in combination with probabilistic reasoning methods in order to build best possible explanation of the ...
Todor Dimitrov   +2 more
openaire   +1 more source

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