Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 167, No. 4 (2004), pp. 627-637 (11 pages) When an individual player or team enjoys periods of good form, and when these ...

We observe n events occurring in (0, T] taken from a Poisson process. The intensity function of the process is assumed to be a step function with multiple changepoints. This article proposes a ...

Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...

Binary semantic segmentation is the task of classifying each pixel in an image as either belonging to a foreground object or the background. This project provides implementations of different UNet ...

Abstract: This article presents a method for binary segmentation of any type of tensor given that a dataset of such tensors with ground truth segmentations is available. The proposed method compresses ...

. ├── challenge.py # Basic KNN segmentation pipeline (k=3) ├── challenge_final_gpu.py # Advanced GPU-optimized training with U-Net comparison ├── unet_model.py # U-Net architecture implementations ├── ...

[spencerhamblin] is starting his explorations into digital electronics the hard way: reproducing a “simple” IC’s functionality by wiring up a board full of discrete transistors. In this case, the end ...

A fully automated method has been developed for segmentation of four different structures in the neonatal brain: white matter (WM), central gray matter (CEGM), cortical gray matter (COGM), and ...