A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
Random access is a desirable feature in many video communication systems. Intra pictures have been conventionally used as random access points, but correct picture content can als...
—People, companies, and public authorities can now have a strong on-line presence and a huge amount of interactions on the Internet, made possible by the impressive growth of the...
In this paper, we design a local classification algorithm using implicit link analysis, considering the situation that the labeled and unlabeled data are drawn from two different ...