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KDD
2005
ACM
147views Data Mining» more  KDD 2005»
16 years 11 hour ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
CVPR
2008
IEEE
16 years 8 months ago
Boosting adaptive linear weak classifiers for online learning and tracking
Online boosting methods have recently been used successfully for tracking, background subtraction etc. Conventional online boosting algorithms emphasize on interchanging new weak ...
Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
ICCV
2009
IEEE
15 years 4 months ago
Realtime background subtraction from dynamic scenes
This paper examines the problem of moving object detection. More precisely, it addresses the difficult scenarios where background scene textures in the video might change over tim...
Li Cheng, Minglun Gong
WSC
2008
15 years 8 months ago
Coping with typical unpredictable incidents in a logic fab
Within the last months the semiconductor plant of Infineon in Dresden has converted to a pure manufacturer of logic products. With it, premises for production control have changed...
Wolfgang Scholl
CORR
2010
Springer
140views Education» more  CORR 2010»
15 years 6 months ago
An Integrated Framework for Performance Analysis and Tuning in Grid Environment
: In a heterogeneous, dynamic environment, like Grid, post-mortem analysis is of no use and data needs to be collected and analysed in real time. Novel techniques are also required...
Ajanta De Sarkar, Sarbani Roy, Sudipto Biswas, Nan...