In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
The theoretical lower limit of subthreshold swing in MOSFETs (60 mV/decade) significantly restricts low voltage operation since it results in a low ON to OFF current ratio at low ...
Daeyeon Kim, Yoonmyung Lee, Jin Cai, Isaac Lauer, ...