Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
The role of managers in a Scrum organization is a topic of high interest with almost no research. Changes in management roles and behaviors were evaluated in a rapidly growing, so...
In this paper, we examine the problem of text-independent open-set speaker identification (OS-SI) in broadcast news. Particularly, the impact of the population of registered speak...
Chao Gao, Guruprasad Saikumar, Amit Srivastava, Pr...
In this paper we discuss rate control for multiuser multicarrier systems, where the transmitter has a single antenna and is subject to a PSD mask limitation while the receiver has...