Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
This paper explores the possibility for software companies of getting a CMMI certification of their processes by applying agile practices. For this purpose, starting with CMMI mat...
Julio Ariel Hurtado Alegria, M. Cecilia Bastarrica
Program transformation systems provide one means of formally deriving a program from its speci cation. The main advantage of this development method is that the executable program...
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...