Sentence examples for minimum spanning forest from inspiring English sources
In fact, our algorithms also solve the minimum spanning forest problem.
The purpose of this paper is to develop a classification method that combines both spectral and spatial information for distinguishing cancer from healthy tissue on hyperspectral images in an animal model.An automated algorithm based on a minimum spanning forest (MSF) and optimal band selection has been proposed to classify healthy and cancerous tissue on hyperspectral images.
Here, we propose an architecture-independent optimization approach for the optimum-path forest (OPF) classifier, that is designed using a theoretical formulation that relates the minimum spanning tree with the minimum spanning forest generated by the OPF over the training dataset.
This paper aimed to present a new method for the spectral-spatial classification of hyperspectral images, based on the idea of modified minimum spanning forest (MMSF).
For constructing a minimum spanning forest (MSF), a B-band hyperspectral image is given, which can be considered as a set of n-pixel vectors X = {x j ∈ R B, j = 1, 2, …, n}.
The considered problem has a combinatorial nature and it can be formulated as a Minimum Constrained Spanning Forest problem with costs on arcs that cannot be a priori defined as they are solution-dependent.
Meanwhile, marker-controlled segmentation methods such as SVM-MSF (SVM-minimum spanning forest) [22] and MSSC-MSF (multispectral-spatial classifier-MSF) [23] can decrease over-segmentation and increase classification accuracy more than other methods [21].
One of the standard examples of a matroid is the graphic matroid in which the independent sets are the sets of edges in forests of a graph; the matroid structure of forests is important in algorithms for computing the minimum spanning tree of the graph.
Lecture 15 - Minimum spanning trees.
An optimal minimum spanning tree algorithm.
The generalized minimum spanning tree problem consists of designing a minimum cost tree spanning several clusters.
