Andrew Sundstrom, Silvio Cirrone, Salvatore Paxia, Carlin Hsueh, Rachel Kjolby, James K Gimzewski, Jason Reed, Bud Mishra
There are many examples of problems in pattern analysis for which it is often possible to obtain systematic characterizations, if in addition a small number of useful features or parameters of the image are known a priori or can be estimated reasonably well. Often the relevant features of a particular pattern analysis problem are easy to enumerate, as when statistical structures of the patterns are well understood from the knowledge of the domain. We study a problem from molecular image analysis, where such a domain-dependent understanding may be lacking to some degree and the features must be inferred via machine-learning techniques...
November 2012: IEEE Transactions on Information Technology in Biomedicine