Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...
—As software projects continue to grow in scale, being able to maximize the work that developers can carry out in parallel as a set of concurrent development tasks, without incur...
Sunny Wong, Yuanfang Cai, Giuseppe Valetto, Georgi...
— Programmable multiprocessor systems-on-chip are becoming the preferred implementation platform for embedded streaming applications. This enables using more software components,...
Peter Poplavko, Twan Basten, Jef L. van Meerbergen
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...