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ICCV
2007
IEEE
14 years 7 months ago
Limits of Learning-Based Superresolution Algorithms
Learning-based superresolution (SR) are popular SR techniques that use application dependent priors to infer the missing details in low resolution images (LRIs). However, their pe...
Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung T...
BMCBI
2008
219views more  BMCBI 2008»
13 years 5 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
13 years 10 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
MP
2008
126views more  MP 2008»
13 years 5 months ago
Geometry of interpolation sets in derivative free optimization
We consider derivative free methods based on sampling approaches for nonlinear optimization problems where derivatives of the objective function are not available and cannot be dir...
Andrew R. Conn, Katya Scheinberg, Luís N. V...
SSD
1999
Springer
197views Database» more  SSD 1999»
13 years 10 months ago
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
Classification is one of the basic tasks of data mining in modern database applications including molecular biology, astronomy, mechanical engineering, medical imaging or meteorolo...
Mihael Ankerst, Gabi Kastenmüller, Hans-Peter...