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        <description>Currently I am doing my Ph.D. in Computer Science at Utah State University. I did internships with IBM Research in 2010 and 2011.  I was born in Peru and came to the US to work as a Research Assistant in projects on Data Mining, Pattern Recognition, and Computer Vision. Specifically, I have been working on Traffic Understanding in Video Sequences, Clustering and Indexing of Unstructured Data (Videos, Music, and Human Motion), Multimedia Information Retrieval, Large Scalable Systems, and Real-tim…</description>
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	*  [October 2011] Omar U. Florez, Similar Events do not Last the Same in Aerospace and Engineering Processes, so Neither their Rules!, NASA Conference on Intelligent Data Understanding (CIDU 2011), Mountain View, California, USA.
	*  [October 2011] Curtis Dyreson and Omar U. Florez, Building a Display of Missing Information in a Data Sieve, ACM 14th International Workshop On Data Warehousing and OLAP (DOLAP) colocated with ACM CIKM 2011, Glasgow, Scotland, UK.
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        <description>VLDB Demo

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Motion-related timeseries have features that are not commonly present in traditional types of vector data, which create additional indexing challenges as described in more detail below.


	*  High and variable dimensionality (proportional to the length of the actor's movement)
	*  No Euclidean distance (since we have patterns of different length)
	*  DTW does not define a metric space (DTW is the most common way to represent similarity between timeseries)</description>
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