Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Face-to-face meetings usually encompass several modalities including speech, gesture, handwriting, and person identification. Recognition and integration of each of these modalit...
Ralph Gross, Michael Bett, Hua Yu, Xiaojin Zhu, Yu...
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
We propose efficient scheduling algorithms for downlink MIMO-CDMA systems using zero forcing beamforming to achieve high system throughput with low computational complexity. Base...