Sentence examples for soft classifications from inspiring English sources
Considerable research focuses on determining the accuracy of various remote sensing techniques for distinguishing saltcedar from native woody riparian vegetation through sub-pixel, or soft classifications.
However, there is a lack of research quantifying spatial distribution patterns from these classifications, mainly because landscape metrics, which are commonly used to statistically assess these patterns, require bounded classes and cannot be applied directly to soft classifications.
Rather than classifying each branch to the type with the largest posterior probability, we use soft classifications and update the branch counts with the expectation from the posterior of the model: (7a) (7b) (7c) (7d) Here H is the set of sampled k-mers that were checked for a branch and B is the subset of H consisting of k-mers that have a suffix branch.
Similar histogram construction and likelihood estimation procedures are used for the other three soft classification nodes.
Soft classification techniques can estimate the class composition of image pixels.
Experiment reveals that, the soft classification ability of GMM can promptly realize the reduction and classification of training data under the premise of ensuring the training effect.
First, it inherently has the attractive property of the soft classification model, where each point can belong to more than one class.
Unfortunately, this kind of method makes FCM lose its attractive soft classification nature rendering it no longer suitable to take PVE into account.
The average running time per test image is approximately 0.268 s1 on an Intel(R) Core(TM) i7-4770 3.40 GHz desktop computer for our proposed soft classification algorithm.
Similar to the idea of soft classification, the uncertainty is considered to build the expected energy model in the first step.
Given a document to classify, we extract the features, perform the mono-vs-color classification, and estimate the class likelihoods (P vec {x}_{i} | c_{j})) at the four soft classification nodes i=1,2,3,4.
