The use of fingerprint features for identification purposes has a long history and is becoming increasingly popular. However, the massive size of existing fingerprint databases means that a complete manual search of the database in order to match a given fingerprint with a print in the database is out of the question, and at least part of the search process must be automated. In addition, a num...

We propose a fuzzy-neural modeling approach for automatically constructing a fuzzy-neural model from a set of input-output data. The proposed approach consists of two phases, structure identification and parameter identification. In the structure identification phase, rough TSK fuzzy rules are extracted through a clustering algorithm. Then a fuzzy neural network is built in the parameter identi...

AIMS A higher prevalence of alcohol use disorders (AUD) among psychiatric patients has been reported previously and the identification rate is relatively low. This study was designed to investigate the prevalence and identification of AUD among acute psychiatric inpatients with severe mental illness in a psychiatric hospital in Taiwan. METHODS In a two-phase case identification strategy, the ...

Background: The study of specific genes expressed in the testis is important to understanding testis development and function. Spermatogenesis is an attractive model for the study of gene expression during germ cell differentiation. Spermatogenesis associated-19 (Spata-19) is a recently-identified important spermatogenesis-related gene specifically expressed in testis. Its protein product is in...

This paper presents a stochastic subspace identification algorithm to compute stable, minimum phase models from a stationary time-series data. The algorithm is based on spectral factorization techniques and a stochastic subspace identification method via a block LQ decomposition (Tanaka and Katayama, 2003c). Two Riccati equations are solved to ensure both stability and minimum phase property of...

This paper proposes an automatic visual inspection scheme with phase identification of microdrill bits in printed circuit board (PCB) production. Our method mainly includes two procedures: firstly the statistical shape models of microdrill bit is built to get the shape subspace, and then the phase identification is performed in the shape subspace using some pattern recognition techniques. In th...

The semantic role labeling (SRL) refers to finding the semantic relation (e.g. Agent, Patient, etc.) between a predicate and syntactic constituents in the sentences. Especially, with the argument information of the predicate, we can derive the predicateargument structures, which are useful for the applications such as automatic information extraction. As previous work on the SRL, there have bee...