Among the family of the local patterns, episodes are commonly used when mining a single or multiple sequences of discrete events. An episode reflects a qualitative relation is-followed-by over event types, and the refinement of episodes to incorporate quantitative temporal information is still an on going research, with many application opportunities. In this paper, focusing on serial episodes,...

In this paper, a Complex LDA based combined Fisherfaces framework, coined Complex Fisherfaces, is developed for face feature extraction and recognition. In this framework, Principal Component Analysis (PCA) and Kernel PCA (KPCA) are first used for feature extraction. Then, the resulting PCA-based linear features and KPCA-based nonlinear features are integrated by complex vectors and, Complex LD...

(Summary of Results) Abstract In this paper, we present a parallel implementation of an image feature extraction task on Connection Machine CM-5. We show that, given a 2048 2048 grey level image as input, the extraction of image features, which includes edge detection, thinning, linking, and linear approximation , can be performed in less than 1.2 seconds on a partition of CM-5 having 512 proce...

We have developed a rapid enzyme immunoassay for progesterone in saliva. This solid-phase assay is carried out on microtitre plates with no extraction or centrifugation steps. The detection limit of the assay is 200 fg per well (3.2 pmol/L). Intra- and interassay coefficients of variation for low, medium, and high concentrations of progesterone were 7.5, 16.0; 9.1, 8.3; and 8.7, 6.7%, respectiv...

In this paper, an algorithm based on the frequency domain feature extraction method is discussed for the detection of currency. This method efficiently utilizes the local spatial features in a currency image to recognize it. The entire system is pre-processed for the optimal and efficient implementation of two dimensional discrete wavelet transform (2D DWT) which is used to develop a currency r...

Among the family of the local patterns, episodes are commonly used when mining a single or multiple sequences of discrete events. An episode reflects a qualitative relation is-followed-by over event types, and the refinement of episodes to incorporate quantitative temporal information is still an on going research, with many application opportunities. In this paper, focusing on serial episodes,...

Developments in experimental techniques in micro electron diffraction and serial X-ray crystallography provide the opportunity to collect diffraction data from protein nanocrystals. Incomplete unit cells on the surfaces of protein crystals can affect the distribution of diffracted intensities for crystals with very high surface-to-volume ratios. The extraction of structure factors from diffract...

Named entity recognition is a very important part of information retrieval and information extraction. Classification is also very important. This paper investigates the sub-classification of named entities from the point of view of information retrieval and information extraction. This paper also presents multi-classification and gives detailed information about each sub-class. We have manuall...

Translation models in statistical machine translation can be scaled to large corpora and arbitrarily-long phrases by looking up translations of source phrases “on the fly” in an indexed parallel corpus using suffix arrays. However, this can be slow because on-demand extraction of phrase tables is computationally expensive. We address this problem by developing novel algorithms for general purpo...