In this paper we describe load scheduling, a novel method that balances load among register files by residual resources. Load scheduling can reduce register pressure for clustered...
Protecting sensitive information while preserving the shareability and usability of data is becoming increasingly important. In call-centers a lot of customer related sensitive in...
Tanveer A. Faruquie, Sumit Negi, Anup Chalamalla, ...
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
We propose an innovative, general purpose, method to the selection and hierarchical representation of key frames of a video sequence for video summarization. It is able to create a...
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...