Sentence examples for processing classification from inspiring English sources
The aim of this paper is to propose an urban object recognition algorithm for urban robotic missions with useful properties: online processing, classification results with probabilistic outputs, and training with a few examples based on a generative model.
To this end it is accompanied by software development environments for image processing, classification, and virtual environment implementation.
AI makes a better fit for these tasks because of the tools it is inherently built on, some including machine learning, natural language processing, classification and cluster.
Keeping aside the figurative incongruity (empathy and machines), humans have made great progress in building functional pieces of the human brain — from machines that can handle computation, memory storage and retrieval to probabilistic reasoning, pattern recognition, natural language processing, classification, learning, etc.
The last of the score or more NPU startups are now falling before EZs highly integrated NP-2 chip which is available is three interchangeable models and includes all the major line-card functions such as wirespeed 10 gigabit per second (or 5 Gbps) processing, classification search engines, traffic managers and Ethernet ports.
Weka contains tools for data processing, classification, regression, clustering, association rules, visualization.
Several other variables showed higher percentages of children with below normal speech processing classifications and high levels of sucking behaviors.
In these bivariate summaries only one behavior, having ever sucked their finger, was significantly associated with the three speech processing classifications (p =.02).
In this paper, we propose a three stage (i.e. pre-processing, classification, post-processing); automatic liver segmentation algorithm that adapts its parameters according to each patient by learning the data set characteristics in parallel to segmentation process to address all the challenging aspects mentioned above.
It includes tools for data pre-processing, classification, regression, clustering, association rules, and visualization.
They present an overview of pre-processing, classification and clustering techniques to discover patterns from social networking sites.
