In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
Liang Su, Weihong Han, Shuqiang Yang, Peng Zou, Ya...
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
— Soft errors are becoming a common problem in current systems due to the scaling of technology that results in the use of smaller devices, lower voltages, and power-saving techn...
Guilin Chen, Mahmut T. Kandemir, Narayanan Vijaykr...
This paper investigates architecture and interface design issues in engineering conversational multimedia interfaces for accessing network-based services. In particular, we focus ...
Giuseppe Di Fabbrizio, S. Narayanan, P. Ruscitti, ...