Multiple Kernels for Object Detection

Multiple Kernels for Object Detection

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Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search for the object in all possible image subwindows. We use multiple kernel learning of Varma and Ray (ICCV 2007) to learn an optimal combination of exponential χ2 kernels, e...

書誌詳細
主要な著者:	Vedaldi, A, Gulshan, V, Varma, M, Zisserman, A, IEEE
フォーマット:	Conference item
出版事項:	2009

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