…matrix . is the dissimilarity between the sensor inputs for objects and . is a feature defined by pairwise dissimilarities to . is a dissimilarity-based representation for . , defines…
dissimilarity space – a step into the darkness" href="https://37steps.com/1934/the-dissimilarity-space/" rel="bookmark">The dissimilarity space – a step into the darkness
Monday, February 4th, 2013 at
00:00
dissimilarity space" href="https://37steps.com/2089/kernels-versus-disspace/" rel="bookmark">Kernel-induced space versus the dissimilarity space
Monday, February 18th, 2013 at
00:00
…The dissimilarity representation has a strong resemblance to a kernel. There are, however, essential differences in assumptions and usage. Here they will be summarized and illustrated by some…
dissimilarity representation" href="https://37steps.com/1976/personal-history-disrep/" rel="bookmark">Personal history on the dissimilarity representation
Monday, February 11th, 2013 at
00:00
…dissimilarity space in which statistical recognition procedures can be used. Distances and densities are now clearly given their own domains: representation and generalization. When applied to structural object descriptions, it…
Dissimilarity measures" href="https://37steps.com/1264/dissimilarity-measures/" rel="bookmark">Dissimilarity measures
Monday, December 31st, 2012 at
00:00
…machine learning can be used for this representation to build good classifiers. Also in case a dissimilarity measure is just approximately euclidean this can be a useful procedure. Like in…
Representations" href="https://37steps.com/4339/random-representations/" rel="bookmark">Random Representations
Wednesday, January 8th, 2014 at
11:35
…The goal of representation is in pattern recognition to map objects into a domain in which they can be compared. Usually, this domain is a vector space. It…
Representation and generalization" href="https://37steps.com/720/representation-and-generalisation/" rel="bookmark">Representation and generalization
Friday, November 2nd, 2012 at
00:00
…all the objects in a domain that is open for computations on object differences. This domain is called a representation. Define a good representation The process of finding a good…
Surprisingly good results in flow-cytometry classification
Sunday, July 20th, 2014 at
17:31
…classifier can be used. In particular the linear support vector machine yields interesting results. The flow-cytometry application Consequently, in applications of the dissimilarity representation the emphasis may be laid on…
What is the core business of pattern recognition?
Friday, September 7th, 2012 at
00:00
…and Recognition in Vision, MIT Press, Cambridge, 1999. [3]. E. Pekalska and R.P.W. Duin, The Dissimilarity Representation for Pattern Recognition, Foundations and Applications, World Scientific, Singapore, 2005, 1-607. …
PRTools: building blocks for pattern recognition
Monday, December 3rd, 2012 at
00:25
…for raw, unprocessed data. CLASSIFICATION_PROCEDURE is a mapping combining representation and generalization. We will use Fisher’s Linear Discriminant for the latter: CLASSIFICATION_PROCEDURE = REPRESENTATION * fisherc This combines two mappings….
Plato and Aristotle
Wednesday, September 12th, 2012 at
00:00
…Bunke [4]. We tried to contribute to this debate by our studies on the dissimilarity representation for pattern recognition [5], [6]. It is interesting to note that the two Technical…
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