This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
Image similarity search is a fundamental problem in computer vision. Efficient similarity search across large image databases depends critically on the availability of compact ima...
Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-...
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they ...
The present paper contributes two novel techniques in the context of image restoration by nonlocal filtering. Firstly, we introduce an efficient implementation of the nonlocal mean...
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...