In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
A system for retrieving video captured in a ubiquitous environment is presented. Data from pressure-based floor sensors are obtained as a supplementary input together with video f...
Gamhewage C. de Silva, Toshihiko Yamasaki, Takayuk...
In this paper we present a new method for locating multiple sound sources using only a local segment of data from a large-aperture microphone array. The result of this work may be...
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...