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ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
14 years 21 days ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof
RTSS
2006
IEEE
14 years 7 days ago
Voice over Sensor Networks
Wireless sensor networks have traditionally focused on low duty-cycle applications where sensor data are reported periodically in the order of seconds or even longer. This is due ...
Rahul Mangharam, Anthony Rowe, Raj Rajkumar, Ryohe...
FAST
2004
13 years 7 months ago
Tracefs: A File System to Trace Them All
File system traces have been used for years to analyze user behavior and system software behavior, leading to advances in file system and storage technologies. Existing traces, ho...
Akshat Aranya, Charles P. Wright, Erez Zadok
IMC
2010
ACM
13 years 4 months ago
Revisiting the case for a minimalist approach for network flow monitoring
Network management applications require accurate estimates of a wide range of flow-level traffic metrics. Given the inadequacy of current packet-sampling-based solutions, several ...
Vyas Sekar, Michael K. Reiter, Hui Zhang
TMM
2008
167views more  TMM 2008»
13 years 6 months ago
Mining Appearance Models Directly From Compressed Video
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Datong Chen, Qiang Liu, Mingui Sun, Jie Yang