Software process improvement is an iterative activity, normally involving measurement, analysis, and change. For most organizations, the existing software process has substantial ...
Shihong Huang, Scott R. Tilley, Michael VanHilst, ...
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
Gabor wavelet related feature extraction and classification is an important topic in image analysis and pattern recognition. Gabor features can be used either holistically or anal...
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Most existing quality metrics do not take the human attention analysis into account. Attention to particular objects or regions is an important attribute of human vision and perce...
Junyong You, Andrew Perkis, Miska M. Hannuksela, M...