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Algebraic topology methods have recently played an important role for statistical analysis with complicated geometric structured… Expand Fisher Kernels and Deep Learning were two developments with significant impact on large-scale object categorization in the last… Expand We consider the design of a single vector representation for an image that embeds and aggregates a set of local patch descriptors… Expand A standard approach to describe an image for classification and retrieval purposes is to extract a set of local patch descriptors… Expand Fisher kernels provide a commonly used vectorial representation of structured objects. The paper presents a technique that… Expand The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the… Expand The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we… Expand Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative… Expand Over the last years significant efforts have been made to develop kernels that can be applied to sequence data such as DNA, text… Expand We introduce a class of string kernels, called mismatch kernels, for use with support vector machines (SVMs) in a discriminative… Expand