Sciweavers

5125 search results - page 80 / 1025
» Image Based Regression Using Boosting Method
Sort
View
PICS
2003
14 years 11 months ago
Selection of Training Sets for the Characterisation of Multispectral Imaging Systems
To establish a correlation between the system output and the corresponding reflectance, the system characterisation functionDeriving the actual multispectral data from the output o...
Paolo Pellegri, Gianluca Novati, Raimondo Schettin...
PRL
2007
166views more  PRL 2007»
14 years 9 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
MCS
2009
Springer
15 years 2 months ago
Regularized Linear Models in Stacked Generalization
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
Samuel Robert Reid, Gregory Z. Grudic
BMCBI
2010
106views more  BMCBI 2010»
14 years 10 months ago
TumorBoost: Normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays
Background: High-throughput genotyping microarrays assess both total DNA copy number and allelic composition, which makes them a tool of choice for copy number studies in cancer, ...
Henrik Bengtsson, Pierre Neuvial, Terence P. Speed
TNN
2010
127views Management» more  TNN 2010»
14 years 4 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia