Abstract. Grey value thresholding is a segmentation technique commonly applied to tomographic image reconstructions. Many procedures have been proposed to optimally select the grey...
For our fourth participation in the CLEF evaluation campaigns, our objective was to verify whether our combined query translation approach would work well with new requests and new...
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is ...
The design phase of any real-time system requires balancing the limited computational resources against the functional requirements and the performance of the application. The opt...