The strategy of the management is of utmost importance to insure a high reliability of the system.doi:10.1007/978-3-662-09771-7_20Jean-Paul HermannSpringer Berlin HeidelbergJ. P. Hermann et al., "Pattern recognition in the factory: An example," in Proc. 12th Int. Symp, Industrial Robots...
Such variables provide a record of the bit/rock interaction which, although not ideal, may be used to identify the strata which the drill has penetrated. The strata identification can be approached using pattern recognition techniques that use a training set of know drill patterns related to ...
There is a well known example of a pattern recognition: the Iris data set. Let’s replicate it with SAP HANA. This example is about classifying some plants. According to the“Iris data set” site: The data set contains 3 classes of 50 instances each, where each class refers to a type ...
Edgar H. Bristol, Brief paper: Pattern recognition: An alternative to parameter identification in adaptive control, Automatica (Journal of IFAC), v.13 n... EH Bristol - 《Automatica》 被引量: 0发表: 1977年 Adaptive Q-S (lag, anticipated, and complete) time-varying synchronization and paramet...
An example of binary classification is gender classification, which has two classification tasks with two possible outcomes—male or female. Similarly, it can be used in classifying the state of a machine into faulty or good. Other application areas where binary classification can be used are ...
For example, a SNP located on the NACHT domain likely interferes with oligomerization, and a SNP on a LRR might impact auto-inhibition. While the most significant SNPs are discussed below, Fig. 3 includes a more inclusive list of mutations associated with human diseases and their corresponding...
The purpose of this paper is to present a simple template-matching pattern recognition technique by using any general-purpose associative memory. The input patterns for recognition may have wide variations, provided that the distinct features of individual pattern classes can be extracted. Each pattern...
The subject is developed according to the following topics: introduction (background, patterns and pattern classes, approaches to pattern recognition, elements of a pattern recognition system, concluding remarks); elements of formal language theory (introduction; string grammars and languages; examples of...
This is a reference implementation of Video Frame Interpolation via Adaptive Separable Convolution [1] using PyTorch. Given two frames, it will make use ofadaptive convolution[2] in a separable manner to interpolate the intermediate frame. Should you be making use of our work, please cite our ...
Pattern analysis is useful in the analysis of spatiotemporal data, time-series data, image data, video data, and multimedia data. An area of spatiotemporal data analysis is the discovery of colocation patterns. These, for example, can help determine if a certain disease is geographically colocat...