Anomaly detection has received much attention within the literature as a means of determining, in an unsupervised manner, whether a learning domain has changed in a fundamental way...
We present a data-driven, unsupervised method for unusual
scene detection from static webcams. Such time-lapse
data is usually captured with very low or varying framerate.
This ...
Michael D. Breitenstein, Helmut Grabner, Luc Van G...
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
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...
Abstract— Performance of proxy caches for database federations that serve a large number of users is crucially dependent on its physical design. Current techniques, automated or ...
Tanu Malik, Xiaodan Wang, Randal C. Burns, Debabra...