- Functional testing of software dedicated for hybrid embedded systems should start at the early development phase and requires analysis of discrete and continuous signals, where t...
Random problem distributions have played a key role in the study and design of algorithms for constraint satisfaction and Boolean satisfiability, as well as in our understanding o...
Visual inspection of neurons suggests that dendritic orientation may be determined both by internal constraints (e.g. membrane tension) and by external vector fields (e.g. neurotr...
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
People producing illustrations with graphical editors often need to repeat the same steps over and over again. This paper describes five techniques that reduce the amount of repet...