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Automatic semantic segmentation of images is becoming a very prominent research field with many promising and reliable solutions already available. Labelled images as input for the photogrammetric pip...
Labeling 3D point cloud data with traditional supervised learning methods requires considerable labelled samples, the collection of which is cost and time expensive. This work focuses on adopting doma...
The US Food and Drug Administration (FDA) regulates the addition of iodine to infant formulas, the iodization of salt, and the addition of salt and iodine to foods. The required amount of iodine in in...
We propose an image labeling method for LIDAR intensity image obtained by Mobile Mapping System (MMS) using K-Nearest Neighbor (KNN) of feature obtained by Convolutional Neural Network (CNN). Image la...
his article shows that the structure of bilingual material from standard parsing and alignment tools is not optimal for training syntax-based statistical machine translation (SMT) systems. We presen...
This paper put forward an new solution, which adopted the genetic algorithm to obtain the global optimal solution (approximate) of automated label placement of point feature. In the paper, the basic ...
Semantic labeling is the task of assigning category labels to regions in an image. For example, a scene may consist of regions corresponding to categories such as sky, water, and ground, or parts of a...
By adopting the scenario experimental methodology of carbon labelling on agri-food products, coupled with 873 questionnaires collected from six cities in China, we made a statistical analysis of diffe...
It is well known that unsupervised classification of a single polarized SAR image is accomplished mainly by two steps i.e., (i) Clustering the SAR image into groups or clusters on the basis of backsca...
The generative surface reconstruction problem can be stated like this: Given a finite collection of 3D shapes, create a small set of functions that can be combined to generate the given shapes ...
It is important to observe the expanse and penetration of ink vehicle in paper for the printing property. However, it is difficult to directly visualize the distribution of the ink vehicle as is. We n...
We successfully demonstrate a digital lightpath labeling technique, LightLabel, for DPSK. Two DPSK modulation schemes and OOK are compared experimentally. The technique offers cost-effective lightpath...
Tabout peptide fragmentation into their peptide-scoring algorithms, automatic knowledge discovery from tandem mass spectromic data is still lacking. pLabel, developed by us, is a tool which allows aut...

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