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CVPR
2005
IEEE
16 years 6 months ago
Tracking Non-Stationary Appearances and Dynamic Feature Selection
Since the appearance changes of the target jeopardize visual measurements and often lead to tracking failure in practice, trackers need to be adaptive to non-stationary appearance...
Ming Yang, Ying Wu
108
Voted
ICIP
2003
IEEE
16 years 5 months ago
Sensing lena-massively distributed compression of sensor images
We consider the sensor broadcast problem: in our setup, sensors measure each one pixel of an image that unfolds over a field, and broadcast a rate constrained encoding of their me...
Sergio D. Servetto
129
Voted
ICML
2006
IEEE
16 years 4 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 10 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
146
Voted
IEEEPACT
2008
IEEE
15 years 10 months ago
Exploiting loop-dependent stream reuse for stream processors
The memory access limits the performance of stream processors. By exploiting the reuse of data held in the Stream Register File (SRF), an on-chip storage, the number of memory acc...
Xuejun Yang, Ying Zhang, Jingling Xue, Ian Rogers,...
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