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  Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5) > General (I.5.0)  
 
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  1-10 of 174 Reviews about "General (I.5.0)": Date Reviewed
  Ensemble learning: pattern classification using ensemble methods (2nd ed.)
Rokach L.,  World Scientific Publishing Co Pte Ltd, Hackensack, NJ, 2019. 302 pp. Type: Book

Like other subtopics of machine learning, pattern classification aims to find regularities in data through the use of learning methods. A pattern comprehends a collection of features and a concept that represents the observations of each feature, ...

Feb 6 2020
  Data science
Kelleher J., Tierney B.,  The MIT Press, Cambridge, MA, 2018. 280 pp. Type: Book (978-0-262535-43-4)

This is one of those books that explain difficult concepts using plain language. It helps the reader completely understand the complex topics by starting from the basics. It is a must-read book for anyone who wants to know how the future will look...

Oct 29 2018
  An empirical study of using sequential behavior pattern mining approach to predict learning styles
Fatahi S., Shabanali-Fami F., Moradi H.  Education and Information Technologies 23(4): 1427-1445, 2018. Type: Article

The authors of this paper set out to determine if a group of learners’ sequential behavior patterns could be used to classify their learning style. Their approach recorded the interactions of learners in an e-learning environment, and then u...

Oct 1 2018
   Pattern identification of biomedical images with time series
Yin X., Hadjiloucas S., Zhang Y., Su M., Miao Y., Abbott D.  Artificial Intelligence in Medicine 67(C): 1-23, 2016. Type: Article

Various medical imaging modalities exist, with applications to different clinical needs such as oncology, perfusion studies, angiography, musculoskeletal diagnosis, and others. This paper by Yin et al. describes the current state of the art of two...

May 27 2016
  Handbook of pattern recognition and computer vision
Chen C.,  World Scientific Publishing Co, Inc., River Edge, NJ, 2016. 560 pp. Type: Book, Reviews: (2 of 2)

Pattern recognition and computer vision are the most popular and powerful applications in modern computing industries. They have found wide ranges of applications such as biometrics, biomedical signal classification, industrial automation, and so ...

May 23 2016
  Handbook of pattern recognition and computer vision
Chen C.,  World Scientific Publishing Co, Inc., River Edge, NJ, 2016. 560 pp. Type: Book, Reviews: (1 of 2)

Pattern recognition and computer vision have very broad applications, and technologies in the field are evolving rapidly. It is great that the editor brought this book up to date in the 5th edition with the latest developments in the field....

Mar 10 2016
  Frequent pattern mining
Aggarwal C., Koutra D.,  Springer Publishing Company, Incorporated, New York, NY, 2014. 471 pp. Type: Book (978-3-319078-20-5), Reviews: (2 of 2)

The rapidly growing field of data mining has developed a number of distinct techniques. The earliest was cluster analysis, finding items in the database that are similar to one another, soon followed by classification, which developed methods for ...

Mar 7 2016
  Frequent pattern mining
Aggarwal C., Koutra D.,  Springer Publishing Company, Incorporated, New York, NY, 2014. 471 pp. Type: Book (978-3-319078-20-5), Reviews: (1 of 2)

Data mining is all about collecting useful information and knowledge from volumes of data, which can be in the form of various numbers and facts. Companies that serve thousands of consumers have always needed data mining tools and there has been m...

Apr 6 2015
  Likelihood ratio estimation in forensic identification using similarity and rarity
Tang Y., Srihari S.  Pattern Recognition 47(3): 945-958, 2014. Type: Article

Estimating probabilities in forensics is a complex problem. There are several methodologies, all facing difficulties from the number of variables and our lack of knowledge of the distribution of some of the variables....

Jan 15 2015
   Unsupervised methods for the classification of hyperspectral images with low spatial resolution
Villa A., Chanussot J., Benediktsson J., Jutten C., Dambreville R.  Pattern Recognition 46(6): 1556-1568, 2013. Type: Article

Spectral imaging constitutes a fascinating type of data. Organized as a set of grayscale images, with each image recording the reflected light of the same scene under a different light wavelength range, a spectral image can reveal significantly mo...

Oct 15 2014
 
 
 
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