We have built a system that engages naive users in an audiovisual interaction with a computer in an unconstrained public space. We combine audio source localization techniques wit...
Sunsern Cheamanunkul, Evan Ettinger, Matt Jacobsen...
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
We propose a new incomplete algorithm for the Maximum Satisfiability (MaxSAT) problem on unweighted Boolean formulas, focused specifically on instances for which proving unsatis...
How to measure and model the similarity between different music items is one of the most fundamental yet challenging research problems in music information retrieval. This paper ...
Bingjun Zhang, Qiaoliang Xiang, Ye Wang, Jialie Sh...
We explore the use of modern recommender system technology to address the problem of learning software applications. Before describing our new command recommender system, we first...
Justin Matejka, Wei Li, Tovi Grossman, George W. F...