Titlebook: Neural Information Processing; 20th International C Minho Lee,Akira Hirose,Rhee Man Kil Conference proceedings 2013 Springer-Verlag Berlin

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Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition,nstruction methods, low-rank representation based graph, which calculates the edge weights of both labeled and unlabeled samples as the low-rank representation (LRR) coefficients, has shown excellent performance in semi-supervised learning. In this paper, we additionally impose twofold constraints (

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Kazushi Ikeda,Akira Hontaninition of KPI does not always follow a systematic and effective methodology. As a result, KPI and project success indicators are often defined in a rather generic and imprecise manner. We need to precisely define KPI and project success indicators, guarantee that the data upon which they are based c

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Duzhou Zhang,Xibin Caonition of KPI does not always follow a systematic and effective methodology. As a result, KPI and project success indicators are often defined in a rather generic and imprecise manner. We need to precisely define KPI and project success indicators, guarantee that the data upon which they are based c

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Djallel Bouneffouf,Amel Bouzeghoub,Alda Lopes Gan?arskiever, higher testing efficiency can be achieved through the selection of test cases with improved fault-revealing capabilities. By associating each test case a priority-value representing (or aggregating) different criteria, such as importance (in terms of fault discovered in previous test campaigns