This chapter will discuss one example of how AI techniques are being integrated with, and extending, existing molecular biology sequence analysis methods. AI ideas of complex representations, pattern recognition, search, and machine learning have been applied to the task of inferring and recognizing structural patterns associated with molecular function. We wish to construct such patterns, and ...

In order to discriminate different industrial machine sounds contaminated with perturbations (high noise, speech, etc.), a spectral analysis based on a structural pattern recognition technique is proposed. This approach consists of three steps: 1) to de-noise the machine sounds using the Morlet wavelet transform, 2) to calculate the frequency spectrums for these purified signals, and 3) to conv...

Structural pattern representations, especially graphs, have advantages over feature vectors. However, they also suffer from a number of disadvantages, for example, their high computational complexity. Moreover, we observe that in the field of statistical pattern recognition a number of powerful concepts emerged recently that have no equivalent counterpart in the domain of structural pattern rec...

While relational representations have been popular in early work on syntactic and structural pattern recognition, they are rarely used in contemporary approaches to computer vision due to their pure symbolic nature. The recent progress and successes in combining statistical learning principles with relational representations motivates us to reinvestigate the use of such representations. More sp...

Continuous efforts have been made in searching for robust and effective iris coding methods, since Daugman’s pioneering work on iris recognition was published. Proposed algorithms follow the statistical pattern recognition paradigm and encode the iris texture information through phase, zero-crossing or texture-analysis based methods. In this paper we propose an iris recognition algorithm that f...

Defining similarities or distances between graphs is one of the bases of the structural pattern recognition field. An important trend within this field consists in going beyond the simple formulation of similarity measures by studying properties of graph’s spaces induced by such distance or similarity measures . Such a problematic is closely related to the graph embedding problem. In this artic...

Hypertext categorization is the task of automatically assigning category labels to hypertext units. Comparable to text categorization it stays in the area of function learning based on the bag-of-features approach. This scenario faces the problem of a many-to-many relation between websites and their hidden logical document structure. The paper argues that this relation is a prevalent characteri...

RNA structural motifs are recurrent structural elements occurring in RNA molecules. They play essential roles in consolidating RNA tertiary structures and in binding proteins. Recently, we discovered a new type of RNA structural motif, namely the hasp motif, from 27 RNA molecules. The hasp motif comprises three nucleotides which form a structure similar to a hasp. Two consecutive nucleotides in...