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Multiple Kernel Learning : Application in Recognition and Retrieval

Abstract. In recent advancements in kernel methods, novel concept of Multiple Kernel Learning (MKL) has given improved results for many classification problems. MKL algorithms learn the optimal kernel for classification by a set of base kernels. The ability to learn the kernel from data can be eciently utilized to optimally combine dierent data sources for recognition problems. In this paper, we present novel application of MKL for character recognition. We also present novel MKL framework for retrieval application which can be applied for dierent indexing applications. The evaluation of proposed concepts is presented on character image dataset and document image collection belonging to Indian scripts.