LTU student paper selected as one of the best 100 Computer Science papers in 2012
Computing Reviews, with the Association of Computing
Machines (ACM) has selected the best 100 papers in the broad field of computer science, including networking, compilers, signal processing, databases, software engineering, and more. One of the papers the receive the prestigious award was a paper by LTU student Jane Tarakhovsky.
Jane’s paper, published in the peer-reviewed ACM Journal on Computing and Cultural Heritage, describes a method that can analyze visual art, a method that was able to automatically identify artistic style and find artistic similarities and influential links between painters, in a fashion that is largely in agreement with the way art
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historians analyze art. Her work demonstrated a new level of machine perception and artificial intelligence.