Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
Bitwise instructions, loops and indirect data access pose difficult challenges to the verification of microcontroller programs. In particular, it is necessary to show that an indir...
This article presents a study that investigates the ability of humans to perceive relationships (patterns) in parallel coordinates, an ability that is crucial to the use of this p...
Jimmy Johansson, Camilla Forsell, Mats Lind, Matth...
Background: A large volume of data and information about genes and gene products has been stored in various molecular biology databases. A major challenge for knowledge discovery ...
In order to gain insight into multivariate data, complex structures must be analysed and understood. Parallel coordinates is an excellent tool for visualizing this type of data bu...
Jimmy Johansson, Patric Ljung, Mikael Jern, Matthe...