classical lbp such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. in this paper, we introduce an improved lbp algorithm to solve these problems that utilizes fast pca algorithm for reduction of vector dimensions of extracted features. in other words, proffer method (fast pca+lbp) is an improved lbp algorithm that is extracted ...

fuzzy segmentation is an effective way of segmenting out objects in images containing both random noise and varying illumination. in this paper, a modified method based on the comprehensive learning particle swarm optimization (clpso) is proposed for pixel classification in hsi color space by selecting a fuzzy classification system with minimum number of fuzzy rules and minimum number of incorr...

drug resistance enables cancer cells to break away from cytotoxic effect of anticancer drugs. identification of resistant phenotype is very important because it can lead to effective treatment plan. there is an interest in developing classifying models of resistance phenotype based on the multivariate data. we have investigated a vibrational spectroscopic approach in order to characterize a sen...

Robust, flexible and sufficiently general vision systems such as those for recognition and description of complex 3dimensional objects require an adequate armamentarium of representations and learning mechanisms. This paper briefly analyzes the strengths and weaknesses of different learning paradigms such as symbol processing systems, connectionist networks, and statistical and syntactic patter...

Speaker recognition can be considered as a subset of the more general area known as pattern recognition, which may be viewed basically in three stages as: feature selection and extraction, classification, and pattern matching. Extensive research in the past has been directed towards finding effective speech characteristics for speaker recognition. But, so far, no feature set is found to be know...

We present a semi-automatic alternative to the manual seismicto-well tie. In the conventional procedure, the interpreter first creates a synthetic trace from edited well logs, determines the most appropriate bulk shift and polarity, and then applies the minimum amount of stretching and squeezing to best match the observed data. The last step can be compared with a visual pattern recognition ste...

Based on the fundamental theory of visual cognition mechanism and cognitive psychology, a brief introduction about the visual pattern recognition model is presented in this paper. Three pattern recognition models, i.e., template-based matching model, prototype-based matching model and feature-based matching model are built and discussed separately. In addition, the influence of object backgroun...

-In this paper, the authors combine two algorithms for application to the recognition of unconstrained isolated handwritten numerals. The first algorithm employs a modified quadratic discriminant function utilizing direction sensitive spatial features of the numeral image. The second algorithm utilizes features derived from the profile of the character in a structural configuration to recognize...

Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030 (MS, I H-G, I G-R, JSR), Department of Applied Animal Science, Graduate School of Biosphere Science, Hiroshima University, 1-4-4 Kagamiyama Higashi-Hiroshima, 7248528, Japan (MS), Departments of Biochemistry and Molecular Biology and Physiology, Faculty of Sciences, University of Las P...