Gaussian mixture models have been widely used in image segmentation. However, such models are sensitive to outliers. In this paper, we consider a robust model for image segmentati...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
Fundamental to any graph cut segmentation methods is the assignment of edge weights. The existing solutions typically use gaussian, exponential or rectangular cost functions with ...
We propose a pixel similarity-based algorithm enabling accurate rigid registration between single and multimodal images. The method relies on the partitioning of a reference image...
Abstract—This paper presents a ultra low-power, lowcomplexity circuit to generate the monocycle pulse for Impulse Radio UWB (IR-UWB) applications. A 7th order derivative Gaussian...
Tuan-Anh Phan, Vladimir Krizhanovskii, Seok-Kyun H...
We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...