Proceedings of 13th International Conference on Pattern Recognition. Vol. 1. pp. 951-956 vol.1. doi:10.1109/ICPR.1996.546164. ... Johnson, M. P. (August 1996). "Automated creation of visual routines using genetic programming". ... alleviating the need to deal with real-world perceptual tasks like object recognition and occlusion compensation. "Ullman's ...
... is the automated recognition of patterns and regularities in data. While similar, pattern recognition (PR) ... for Pattern Recognition List of Pattern Recognition web sites Journal of Pattern Recognition Research Pattern Recognition Info ... Pattern Recognition (Journal of the Pattern Recognition Society) International Journal of Pattern Recognition and Artificial ... Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the ...
"Current challenges in automating visual perception". 2008 37th IEEE Applied Imagery Pattern Recognition Workshop. pp. 1-8. doi: ... Conference on Pattern Recognition (ICPR), 2012" (PDF). Archived from the original (PDF) on 2014-08-26. Retrieved 2012-07-11. ... Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), IEEE Computer ... Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), IEEE Computer ...
March 2013). "Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach". Pattern ... Recognition. 46 (3): 692-702. Bibcode:2013PatRe..46..692G. doi:10.1016/j.patcog.2012.10.005. PMC 3580869. PMID 23459617. ... These features, termed radiomic features, have the potential to uncover tumoral patterns and characteristics that fail to be ... Instead of manual segmentation, an automated process has to be used. A possible solution are automatic and semiautomatic ...
Horst Bunke; Alberto Sanfeliu (January 1990). Syntactic and Structural Pattern Recognition: Theory and Applications. World ... ISBN 978-9971-5-0566-0. Stephen Cole Kleene (Dec 1951). Representation of Events in Nerve Nets and Finite Automate (PDF) ( ... which are augmented with features that allow the recognition of non-regular languages). Alternatively, a regular language can ...
"Automated chemical structure analysis of organic molecules with a molecular structure generator and pattern recognition ... One of the earliest attempts was made by Hidetsugu Abe in 1975 using a pattern recognition-based structure generator. The ... "An expert system for automated structure elucidation utilizing 1H-1H, 13C-1H and 15N-1H 2D NMR correlations". Fresenius' ...
Through the use of pattern-recognition software, researchers have developed software that can characterize microscopic pollen ... Innovations in automated microscopy and imagining software offer one potential alternative in the identification of pollen. ... "Automated pollen identification using microscopic imaging and texture analysis". Micron. 68: 36-46. doi:10.1016/j.micron. ...
Pattern Recognition. 42 (11): 2460-2469. Bibcode:2009PatRe..42.2460L. doi:10.1016/j.patcog.2009.03.001. Karperien, Audrey; ... Jelinek, Herbert F.; Leandro, Jorge de Jesus Gomes; Soares, João V. B.; Cesar Jr, Roberto M.; Luckie, Alan (2008). "Automated ... To illustrate, Figure 2a shows the typical pattern used in software that calculates box counting dimensions from patterns ... Figure 2b illustrates the basic pattern of scanning using a sliding box. The fixed grid approach can be seen as a sliding box ...
... is the use of artificial intelligence and pattern recognition software and knowledge bases to ... Logical processing and pattern recognition, using rule-based expert systems, probabilistic Bayesian analysis or fuzzy logics ... Although considerable effort has been made to improve automated ECG algorithms, the sensitivity of the automated ECG ... The first automated ECG programs were developed in the 1970s, when digital ECG machines became possible by third-generation ...
... developed relies on self-report or automated systems that monitor human behavior using sensors and pattern recognition ... the effects of feedback on electricity consumption in the home showed that the feedback on the electricity consumption pattern ...
Automated image recognition was developed by using machine learning to find patterns in large, annotated datasets of ... In automated image recognition, training models to connect images with concepts that have low imageability can lead to biased ... To avoid biased or harmful image recognition and image generation, Yang et.al. recommend not training vision recognition models ... It is used in architecture and city planning, in psycholinguistics, and in automated computer vision research. ...
There are automated microscopy systems that use flow cytometry technology or pattern recognition to identify microscopic ... Automated test strip readers came onto the market in the 1980s. Uroscopy, the ancient form of this analysis Urinary casts ... Automated instruments reduce workload in medical laboratories and can accurately identify most common urinary elements, but do ... Oyaert, Matthijs; Delanghe, Joris (2019). "Progress in Automated Urinalysis". Annals of Laboratory Medicine. 39 (1): 15-22. doi ...
... making early contributions in pattern recognition, facial recognition, and automated theorem proving. He continued to make ... The n-tuple method (1959) was an early method for learning a pattern recognition program. The basic method is illustrated by ... Bledsoe, W. W.; Browning, I. (1959). "Pattern recognition and reading by machine". Papers presented at the December 1-3, 1959, ... doi:10.1016/0004-3702(77)90012-1. W.W. Bledsoe; I. Browning (1959). "Pattern Recognition and Reading by Machine". Papers ...
Babic b., Nesic, n., Miljkovic Z., 2008, A review of automated feature recognition with rule-based pattern recognition, ... Computer-Aided Design 36(1): 11-25 Feature Recognition-The Missing Link To Automated CAM Manufacturing feature recognition ... Automatic Feature Recognition (AFR) is regarded as an ideal solution to automate design and manufacturing processes. Successful ... M. Marefat and R. L. Kashyap, 1990, Geometric reasoning for recognition of 3-D object features, IEEE Trans. Pattern Anal. ...
... and quantity of the tissue sample using image pattern recognition technology based on vector quantization. Vector ... Media related to Automated tissue image analysis at Wikimedia Commons (CS1: long volume value, All articles with unsourced ... Automated tissue image analysis or histopathology image analysis (HIMA) is a process by which computer-controlled automatic ... In a typical application, automated tissue image analysis could be used to measure the aggregate activity of cancer cells in a ...
Automated image recognition algorithms are gaining in clinical adoption. While they perform at a level nearly equivalent to ... Specific approaches involve pattern recognition using trained artificial neural networks; feature extraction using edge- ... Dedicated research in artificial intelligence drives the underlying technology in automated image recognition. ... Telehealth networks are growing in number, and advancements are being made in automated detection methods for diseases such as ...
In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent ... Automating this process is feature learning, where a machine not only uses features for learning, but learns the features ... Features are usually numeric, but structural features such as strings and graphs are used in syntactic pattern recognition. The ... In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon. ...
Aiello's earliest research involved pattern recognition, and her work in the 1970s and early 1980s concerned automated theorem ... Through this, she became interested in programming language semantics and the application of automated theorem proving to ...
... automated fingerprint verification remained a challenge and was extensively researched in the context of pattern recognition ... Therefore, the recognition of minutiae features became the most common basis for automated fingerprint verification. The most ... In a pattern-based algorithm, the template contains the type, size, and orientation of patterns within the aligned fingerprint ... Another mode of fingerprint pattern inheritance suggests that the arch pattern on the thumb and on other fingers are inherited ...
... such as finger and palm vein patterns, iris, and facial recognition technologies. Cheaper mass-produced equipment has been ... Fortune.com Automated teller machine at Curlie World Map and Chart of Automated Teller Machines per 100,000 Adults by Lebanese- ... which was producing optical scanning equipment and had instructed Docutel to explore automated baggage handling and automated ... "Industrial Automated Gas Pumping Station and ATM MCF547x ColdFire Solutions By Freescale". Freescale.com. Archived from the ...
Some branches based on it, such as statistics, machine learning, pattern recognition and data mining, are the base for ... Not only because they automate the process of filtering but also the construction and adaptation of the filter. ... automated or computerized methods prior to presentation to a human user. Its main goal is the management of the information ... but in thematic issues as varied as voice recognition, classification of telescopic astronomy or evaluation of financial risk. ...
... pattern recognition, information visualization as well as large-scale data computing & processing. For example, software ... Automated analysis, massive data, and systematic reasoning support decision-making at almost all levels. In general, key ... In Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), Tutorial, Lawrence, ... at software engineering conferences including a tutorial at the IEEE/ACM International Conference on Automated Software ...
... automated baselining, neural networks, pattern recognition, and other similar technologies. The intent is to automate manual ... In cloud environments events can be defined using monitoring software and actions automated with cloud management application ... Self-learning performance management: the use of technology to help automate the performance management of information ...
Pattern recognition methods for optimizing multivariate tissue signatures in diagnostic ultrasound. Ultrason Imaging. 1986 Jul; ... Automated analysis of strain rate and strain: feasibility and clinical implications. J Am Soc Echocardiogr. 2005 May;18(5):411- ... The pattern being random, each region of the myocardium (called a "kernel"), has a unique speckle pattern, and that this ... Automated analysis of myocardial deformation at dobutamine stress echocardiography: an angiographic validation. J Am Coll ...
Pattern recognition methods for optimizing multivariate tissue signatures in diagnostic ultrasound. Ultrason Imaging. 1986 Jul; ... Automated analysis of strain rate and strain: feasibility and clinical implications. J Am Soc Echocardiogr. 2005 May;18(5):411- ... The pattern being random, each region of the myocardium has a unique speckle pattern (also called patterns, features, or ... As the speckle pattern is random, any region of the myocardium has a unique speckle pattern: Within the picture, a defined area ...
... limits and options for automated field identification with a synergic pattern recognition approach". Mammalia. 68 (4): 307-32. ...
... limits and options for automated field identification with a synergetic pattern recognition approach". Mammalia. 68 (4). doi: ...
... limits and options for automated field identification with a synergic pattern recognition approach. Mammalia. 68(4) 307-32 doi: ...
... limits and options for automated field identification with a synergic pattern recognition approach". Mammalia. 68 (4): 307-32. ...
... limits and options for automated field identification with a synergetic pattern recognition approach". Mammalia. 68 (4): 307- ...