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CVPR
2012
IEEE
13 years 9 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
TVCG
2008
96views more  TVCG 2008»
15 years 6 months ago
Visualization of Cellular and Microvascular Relationships
Understanding the structure of microvasculature structures and their relationship to cells in biological tissue is an important and complex problem. Brain microvasculature in parti...
David Mayerich, Louise Abbott, John Keyser
APVIS
2007
15 years 8 months ago
Interpreting large visual similarity matrices
Visual similarity matrices (VSMs) are a common technique for visualizing graphs and other types of relational data. While traditionally used for small data sets or well-ordered la...
Christopher Mueller, Benjamin Martin, Andrew Lumsd...
IKE
2010
15 years 4 months ago
Active Datawarehouse Loading by Tool Based ETL Procedure
: Over the years, DataWarehousing has gone through a number of evolutions from a relatively simple reporting database to sophisticated analytical applications such as analyzing cus...
Mallikharjuna Reddy V, Sanjay K. Jena
ACCV
2009
Springer
15 years 10 months ago
Efficient Classification of Images with Taxonomies
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
Alexander Binder, Motoaki Kawanabe, Ulf Brefeld