BACKGROUND An international NGO, with financial and managerial support from "partner" communities, established Casas Maternas (birthing facilities) in 3 municipalities in the isolated northwestern highlands of the department of Huehuetenango in Guatemala-an area with high maternal mortality ratio (338 maternal deaths per 100,000 live births). Traditional birth attendants are encouraged to bring...

In this paper, a new cochannel speech separation algorithm using multi-pitch extraction and speaker model based sequential grouping is proposed. After auditory segmentation based on onset and offset analysis, robust multi-pitch estimation algorithm is performed on each segment and the corresponding voiced portions are segregated. Then speaker pair model based on support vector machine (SVM) is ...

This paper describes the information extraction systems of BUPT_PRIS at Temporal Summarization Track, Which includes data obtaining and preprocessing, index building and query expansion, sentences scoring module. This year only keep one task: sequential update summarization, the task: value tracking is cancelled. For the sequential update summarization we focus attention on queries expansion an...

The recurrent least squares (RLS) learning approach is proposed for controlling the learning rate in parallel principal subspace analysis (PSA) and in a wide class of principal component analysis (PCA) associated algorithms with a quasi{parallel extraction ability. The purpose is to provide a useful tool for applications where the learning process has to be repeated in an on{line self{adaptive ...

The recurrent Neural network capable to provide the Boolean factor analysis of the binary data sets of high dimension and complexity is applied to roll-call voting problem. The method of sequential factor extraction, based on the Lyapunov function is discussed in deep. Efficiency of this attempt is shown on simulated data and on real data from Russian parliament as well. Key–Words: Hopfield Neu...

The literature on region analysis is dominated by algorithms and applications for binary images. In contrast, region analysis of color images is a relatively unexplored field. This paper presents some new research that strengthens the notational support for boundary encoding of color image regions, offers a sequential algorithm for extracting color region boundaries and outlines a VLSI architec...

The recurrent least squares (RLS) learning approach is proposed for controlling the learning rate in parallel principal subspace analysis (PSA) and in a wide class of principal component analysis (PCA) associated algorithms with a quasi{parallel extraction ability. The purpose is to provide a useful tool for applications where the learning process has to be repeated in an on{line self{adaptive ...

Feature extraction is the process of deriving new weakly correlated features from the original features in order to reduce the cost of feature measurement, increase classifier efficiency, and allows higher classification accuracy. The selection and quality of the features representing each pattern have considerable bearing on the success of subsequent pattern classification. In this paper, we s...

Organic phosphorus is an important component of soil biogeochemical cycles, but must be extracted from soil prior to analysis. Here we critically review the extraction of soil organic phosphorus, including procedures for quantification, speciation, and assessment of biological availability. Quantitative extraction conventionally requires strong acids and bases, which inevitably alter chemical s...