Image Segmentation and Compression Using Hidden Markov Models

Rating:
Summary: HMM, a useful statistical model
Review: A probabilitic model consisting of a number of interconnecting states. Like probiles, HMMs encode full domain alignments. They are essentially linear chains of match, delete or insert states: a match state denotes a conserved column in an alignment; an insert state allows insertions relative to match states; and delete states allow match positions to be skipped. Now HMM is used to develope the information of human gene. I suppose more and more books about HMM will point to structure of gene models.