Indirect Immunofluorescence on HEp-2 slides is the recommended technique to detect antinuclear autoantibodies in patient serum. Such slides are read at the fluorescence microscope by experts of IIF, who classify the fluorescence intensity, recognize mitotic cells and classify the staining patterns for each well. The crucial need of accurately performed and correctly reported laboratory determin...

We studied ballooning spiders captured weekly over an 11-y period using a 12.2-m-high suction trap in an agricultural landscape of western Switzerland. We analyzed population trends, changes in phenology, and species composition. Yearly trends in population size of the most abundant species were studied with nonparametric correlations. We found that these trends were markedly different for grou...

We present a mathematical frame to carry out segmentation of cerebrospinal fluid (CSF) of ventricular region in computed tomography (CT) images in the presence of partial volume effect (PVE). First, the image histogram is fitted using the Gaussian mixture model (GMM). Analyzing the GMM, we find global threshold based on parameters of distributions for CSF, and for the combined white and grey ma...

Spectral unmixing given a library of endmember spectra can be achieved by multiple endmember spectral mixture analysis (MESMA), which tries to find the optimal combination of endmember spectra for each pixel by iteratively examining each endmember combination. However, as library size grows, computational complexity increases which often necessitates a laborious and heuristic library reduction ...

1. Four rumen-cannulated sheep were given a forage mixture (F) of chopped hay-ground, pelleted, dried grass (92:8, w/w) and two concentrate mixtures (C and S) of ground barley-ground hay-flaked maize (46:24:30 and 56:24:20, by wt respectively) in twenty-four hourly meals each day. Each of the diets was offered in successive periods of 16 d to give a feeding sequence F-S-C-S for one pair of shee...

Topic category: 7. Image and Multi-dimensional Signal Processing 9. Statistical Signal & Array Processing This paper presents an algorithm for a maximum likelihood estimation (MLE) classiier, using Gaussian mixture models (GMMs), incorporating a combination of supervised and unsupervised training. This will enable the use of data for which no ground truth class labels are available, to improve ...

We propose a methodology for joint feature learning and clustering of multichannel extracellular electrophysiological data, across multiple recording periods for action potential detection and classification (“spike sorting”). Our methodology improves over the previous state of the art principally in four ways. First, via sharing information across channels, we can better distinguish between si...

Acoustic variability of speakers arises due to differences in their vocal tract characteristics. These individual speaker characteristics are reflected in a speech signal when speakers pronounce a given phoneme. The current work hypothesizes that clusters within a phoneme spoken by multiple speakers roughly correspond to different speakers. Based on this hypothesis, a Gaussian mixture model (GM...

We address the problem of extracting the simple closed contours that bound the salient objects in a natural image[4]. The method proposed in this paper falls in the category of contour grouping methods, which search for the optimal cycle of local oriented primitives (e.g. edgels, line segments) forming the boundary. The first stage of processing in our method extracts from the image a sparse gr...