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» Informative sampling for large unbalanced data sets
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152
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CSMR
2004
IEEE
15 years 7 months ago
A Distributed Architecture for Dynamic Analyses on User-Profile Data
Combining static and dynamic information is highly relevant in many reverse engineering, program comprehension and maintenance task. Dynamic analysis is particularly effective whe...
Giuliano Antoniol, Massimiliano Di Penta
116
Voted
MICCAI
2009
Springer
16 years 4 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
135
Voted
BMCBI
2010
125views more  BMCBI 2010»
15 years 3 months ago
In-silico prediction of blood-secretory human proteins using a ranking algorithm
Background: Computational identification of blood-secretory proteins, especially proteins with differentially expressed genes in diseased tissues, can provide highly useful inform...
Qi Liu, Juan Cui, Qiang Yang, Ying Xu
AMW
2010
15 years 5 months ago
Run-time Optimization for Pipelined Systems
Traditional optimizers fail to pick good execution plans, when faced with increasingly complex queries and large data sets. This failure is even more acute in the context of XQuery...
Riham Abdel Kader, Maurice van Keulen, Peter A. Bo...
123
Voted
TOG
2002
107views more  TOG 2002»
15 years 3 months ago
Synthesis of bidirectional texture functions on arbitrary surfaces
The bidirectional texture function (BTF) is a 6D function that can describe textures arising from both spatially-variant surface reflectance and surface mesostructures. In this pa...
Xin Tong, Jingdan Zhang, Ligang Liu, Xi Wang, Bain...