This paper presents two new heuristics which utilize classification and max-flow algorithm respectively to derive near-optimal branch decompositions for linear matroids. In the literature, there are already excellent heuristics for graphs, however, no practical branch decomposition methods for general linear matroids have been addressed yet. Introducing a “measure” which compares the “similarit...

Dual beam flow cytometry of chromosomes stained with Hoechst 33258 and chromomycin A3 has been proposed as a method for quantitative classification of human chromosomes (bivariate flow karyotyping). In this paper we investigate the sources and magnitudes of variability in the mean fluorescence intensities of each chromosome group resolved in bivariate flow karyotypes and study the impact of thi...

OBJECTIVE To evaluate the use of the ML Flow test as an additional, serological, tool for the classification of new leprosy patients. DESIGN In Brazil, Nepal and Nigeria, 2632 leprosy patients were classified by three METHODS : (1) as multibacillary (MB) or paucibacillary (PB) according to the number of skin lesions (WHO classification), (2) by slit skin smear examination, and (3) by serolo...

Traffic classification is an automated process which categorizes computer network traffic according to various parameters into a number of traffic classes. Many supervised classification algorithms and unsupervised clustering algorithms have been applied to categorize Internet traffic. Traditional traffic classification methods include the port-based prediction methods and payloadbased deep ins...

Automated classification of biological cells according to their 3D morphology is highly desired in a flow cytometer setting. We have investigated this possibility experimentally and numerically using a diffraction imaging approach. A fast image analysis software based on the gray level co-occurrence matrix (GLCM) algorithm has been developed to extract feature parameters from measured diffracti...

We describe and validate a novel data-driven approach to the real time detection classification of traffic anomalies based on identification atypical fluctuations in relationship between density flow. For aggregated data under stationary conditions, flow are related by fundamental diagram. However, high resolution obtained from modern sensor networks is generally non-stationary disaggregated. S...

MOTIVATION Recent technological innovations in flow cytometry now allow oceanographers to collect high-frequency flow cytometry data from particles in aquatic environments on a scale far surpassing conventional flow cytometers. The SeaFlow cytometer continuously profiles microbial phytoplankton populations across thousands of kilometers of the surface ocean. The data streams produced by instrum...