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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 3 days ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
ICCV
2003
IEEE
14 years 10 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
VIP
2003
13 years 9 months ago
Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...
John G. Allen, Richard Y. D. Xu, Jesse S. Jin
OSDI
2008
ACM
14 years 8 months ago
R2: An Application-Level Kernel for Record and Replay
Library-based record and replay tools aim to reproduce an application's execution by recording the results of selected functions in a log and during replay returning the resu...
Zhenyu Guo, Xi Wang, Jian Tang, Xuezheng Liu, Zhil...
SIGIR
2003
ACM
14 years 1 months ago
Question classification using support vector machines
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
Dell Zhang, Wee Sun Lee