Statistical pattern recognition /
Material type: TextPublication details: Hoboken : Wiley, 2011Edition: 3rd edDescription: xxiv, 642 p. : illISBN: 9780470682289 Subject(s): Pattern perception | MATHEMATICS / Probability & Statistics / GeneralDDC classification: 006.4 Summary: " Statistical Pattern Recognition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book describes techniques for analysing data comprising measurements made on individuals or objects.. The techniques are used to make a prediction such as disease of a patient, the type of object illuminated by a radar, economic forecast. Emphasis is placed on techniques for classification, a term used for predicting the class or group an object belongs to (based on a set of exemplars) and for methods that seek to discover natural groupings in a data set. Each section concludes with a description of the wide range of practical applications that have been addressed and the further developments of theoretical techniques and includes a variety of exercises, from 'open-book' questions to more lengthy projects. New material is presented, including the analysis of complex networks and basic techniques for analysing the properties of datasets and also introduces readers to the use of variational methods for Bayesian density estimation and looks at new applications in biometrics and security. "--Summary: "The book describes techniques for analysing data comprising measurements made on individuals or objects."--Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
BK | Kannur University Central Library Stack | Stack | 006.4 WEB/S (Browse shelf (Opens below)) | Available | 34765 |
Browsing Kannur University Central Library shelves, Shelving location: Stack, Collection: Stack Close shelf browser (Hides shelf browser)
006.4 MUL Multibiometrics for human identification / | 006.4 RIP/P Pattern recognition and neural networks / | 006.4 SAN/P Pattern recognition : from classical to modern approaches | 006.4 WEB/S Statistical pattern recognition / | 006.42 LIU/F Face geometry and appearance modeling : concepts and applications | 006.5 RAJ/D Digital logic and computer organization | 006.54 TAY/T Text-to-speech synthesis / |
" Statistical Pattern Recognition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book describes techniques for analysing data comprising measurements made on individuals or objects.. The techniques are used to make a prediction such as disease of a patient, the type of object illuminated by a radar, economic forecast. Emphasis is placed on techniques for classification, a term used for predicting the class or group an object belongs to (based on a set of exemplars) and for methods that seek to discover natural groupings in a data set. Each section concludes with a description of the wide range of practical applications that have been addressed and the further developments of theoretical techniques and includes a variety of exercises, from 'open-book' questions to more lengthy projects. New material is presented, including the analysis of complex networks and basic techniques for analysing the properties of datasets and also introduces readers to the use of variational methods for Bayesian density estimation and looks at new applications in biometrics and security. "--
"The book describes techniques for analysing data comprising measurements made on individuals or objects."--
There are no comments on this title.