Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
We consider example-critiquing systems that help people search for their most preferred item in a large catalog. We first analyze how such systems can help users in the framework ...
The analysis of color image sequence is very heavy if the analysis is carried out for each image. But, in many practical cases, there is no need to know the precise motion and sha...
Abstract. Multi grain sentiment analysis is the task of simultaneously classifying sentiment expressed at different levels of granularity, as opposed to single level at a time. Mod...
This article is about a measurement analysis based approach to help software practitioners in managing the additional level complexities and variabilities in software product line...