In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (SMP). SMP s are based on ...
Abstract. In this paper we address the task of image categorization us- ing a new similarity measure on the space of Sparse Multiscale Patches. (SMP).
Abstract and Figures. In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (SMP).
In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (SMP).
In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (<em>SMP</em> ).
Abstract. This paper presents a framework to define an objective mea- sure of the similarity (or dissimilarity) between two images for image processing.
Missing: Categorization. | Show results with:Categorization.
In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (SMP). SMP s are based on ...
Abstract. Traditional sparse representation algorithms usually operate in a single Euclidean space. This paper leverages a self-explanatory re-.
We have previously developed spatial descriptors called sparse multiscale patches (SMP) and showed that they characterize the visual features of still images ( ...
In this paper we develop an extension of the SPM method, by generalizing vector quantization to sparse cod- ing followed by multi-scale spatial max pooling, and ...