Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques.

This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of...

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...

"Edward Thomas and World Literary Studies" offers a revelatory rereading of the early twentieth century English poet Edward Thomas (1878 1917). Adapting Pascale Casanova s vision of world literature as a system of competing national traditions, Andrew Webb analyzes Thomas s appropriation of Anglocentric British literary culture during key moments of historical crisis in the twentieth century: after World War I, before and after World War II, and the resumption of war in Ireland in the 1970s. Webb shows how the dominant linguistic assumptions underpinning the discipline of English literature...