Abstract In order to quantitatively evaluate the one-dimensional site seismic response analysis methods, this article selected 2418 ground motion records of Japan KiK-net strong-motion seismograph network and groups acceleration spectra calculated by DEEPSOIL, SHAKE2000, SOILQUAKE SOILRESPONSE, then` used dynamic time warping (DTW) algorithm calculate DTW distance between measured spectrum spec...

To classify time series by nearest neighbors, we need to specify or learn one or several distance measures. We consider variations of the Mahalanobis distance measures which rely on the inverse covariance matrix of the data. Unfortunately — for time series data — the covariance matrix has often low rank. To alleviate this problem we can either use a pseudoinverse, covariance shrinking or limit ...

Microarray technology provides an opportunity for scientists to analyze thousands of gene expression profiles simultaneously. However, microarray gene expression data often contain multiple missing expression values due to many reasons. Effective methods for missing value imputation in gene expression data are needed since many algorithms for gene analysis require a complete matrix of gene arra...

Connected Word Recognition (CWR) is used in many applications such as voice-dialing telephone, automatic data entry, automated banking systems and, etc. This paper presents a novel architecture for CWR based on synergic Hidden Markov Model (HMM) and Dynamic Time Warping (DTW). At first, the proposed architecture eliminates obvious silent times from inputted speech utterance by preprocessing ope...

-—— In speaker-independent speech recognition. the disadvantage of the most di行used technology (HMMs.or Hidden Markov models)is not only the need of m any m ore training sam ples,but also long train tim e requirem ent. This PaPer describes the use of Biom im etic pattern recognition(BPR)in recognizing some mandarin continuous speech in a speaker-independent m anner. A speech database was develo...

Mass spectrometry proteomics typically relies upon analyzing outcomes of single analyses; however, comparing raw data across multiple experiments should enhance both peptide/protein identification and quantitation. In the absence of convincing tandem MS identifications, comparing peptide quantities between experiments (or fractions) requires the chromatographic alignment of MS signals. An exten...

The Dynamic Time Warping (DTW) distance measure is a technique that has long been known in speech recognition community. It allows a non-linear mapping of one signal to another by minimizing the distance between the two. A decade ago, DTW was introduced into Data Mining community as a utility for various tasks for time series problems including classification, clustering, and anomaly detection....

Biometrics authentication has been gaining popularity among the industries that highly incorporate securities in their daily activities. Signature verification is one of the biometrics authentication techniques which has been used for years and publicly accepted. The ease of use of signature verification coupled with lower cost and technology advances in tablet technologies, signature verificat...