This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...
High-end biomedical applications are a good target for specificpurpose system-on-chip (SoC) implementations. Human heart electrocardiogram (ECG) real-time monitoring and analysis ...
Iyad Al Khatib, Davide Bertozzi, Axel Jantsch, Luc...