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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 171 Reviews about "General (I.5.0)": Date Reviewed
   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., Han J.,  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., Han J.,  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
  The optical character recognition of Urdu-like cursive scripts
Naz S., Hayat K., Imran Razzak M., Waqas Anwar M., Madani S., Khan S.  Pattern Recognition 47(3): 1229-1248, 2014. Type: Article

Optical character recognition (OCR) is a fundamental problem that predates even the birth of computers. Over the decades, a huge bulk of research work has been published, with the majority focused on Roman-like and/or East Asian scripts. This surv...

Aug 19 2014
  Support vector machines applications
Ma Y., Guo G.,  Springer Publishing Company, Incorporated, New York, NY, 2014. 308 pp. Type: Book (978-3-319022-99-4)

Although support vector machines (SVMs) are a relatively new topic in the field of machine learning, there have been many papers and books published that report on the progress of both theoretical research and practical developments. This new book...

Aug 18 2014
  Bayesian programming
Bessière P., Mazer E., Ahuactzin J., Mekhnacha K.,  Chapman & Hall/CRC, Boca Raton, FL, 2014. 380 pp. Type: Book (978-1-439880-32-6)

Bayesian programming uses plausible reasoning to extend logic to cases where the premises are not certain. A complete system for efficient problem solving needs modeling, inference algorithms, new programming languages, and new hardware. The autho...

Aug 12 2014
 
 
 
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