Learning Cascaded Reduced-Set SVMs Using Linear Programming
This paper proposes a simple and efficient detection frame- work that uses reduced-set kernels. We first describe our approach which reduces the number of kernels. A con- vex optimization method is used for calculating the reduced sets. Following this, we propose a method that optimally designs the cascade. Our experimental results indicate that our method minimizes complexity regarding the number of kernels in the cascaded structure while preserving the low error rates. Our algorithm generates...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of Digital Image Computing: Techniques and Applications (DICTA 2008)|
|01_Kim_Learning_Cascaded_Reduced-Set_2008.pdf||359.3 kB||Adobe PDF||Request a copy|
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