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ICPR
2008
IEEE
15 years 8 months ago
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking
The mean-shift (MS) algorithm is widely used in object tracking because of its speed and simplicity. However, it assumes certain overlap of object appearance and smooth change in ...
Zhidong Li, Jing Chen, Nicol N. Schraudolph
CGO
2007
IEEE
15 years 8 months ago
Code Compaction of an Operating System Kernel
General-purpose operating systems, such as Linux, are increasingly being used in embedded systems. Computational resources are usually limited, and embedded processors often have ...
Haifeng He, John Trimble, Somu Perianayagam, Saumy...
IPPS
2003
IEEE
15 years 7 months ago
Application/Kernel Cooperation Towards the Efficient Execution of Shared-Memory Parallel Java Codes
In this paper we propose mechanisms to improve the performance of parallel Java applications executing on multiprogrammed shared-memory multiprocessors. The proposal is based on a...
Jordi Guitart, Xavier Martorell, Jordi Torres, Edu...
109
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HPDC
2002
IEEE
15 years 6 months ago
Using Kernel Couplings to Predict Parallel Application Performance
Performance models provide significant insight into the performance relationships between an application and the system used for execution. The major obstacle to developing perfor...
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Ri...
JCP
2008
167views more  JCP 2008»
15 years 1 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao