A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps which find object’s border ...
A radix-based digital self-calibration technique for multistage analog-to-digital converter(ADC) is presented. This technique can correct errors due to capacitor mismatch and fin...
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...
Modern space research uses both satellite-born and ground-based instruments to measure the near-Earth space environment. Studying the auroral display provides information of the e...
Although k-means clustering is often applied to time series clustering, the underlying Euclidean distance measure is very restrictive in comparison to the human perception of time ...