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» Detecting Fractures in Classifier Performance
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ICCV
2005
IEEE
15 years 11 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
BMCBI
2007
131views more  BMCBI 2007»
14 years 9 months ago
Prediction of peptides observable by mass spectrometry applied at the experimental set level
Background: When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides a...
William S. Sanders, Susan M. Bridges, Fiona M. McC...
CVPR
2004
IEEE
15 years 11 months ago
Effect of Colorspace Transformation, the Illuminance Component, and Color Modeling on Skin Detection
Skin detection is an important preliminary process in human motion analysis. It is commonly performed in three steps: transforming the pixel color to a non-RGB colorspace, droppin...
Sriram Jayaram, Stephen Schmugge, Min C. Shin, Leo...
ASIAN
2004
Springer
117views Algorithms» more  ASIAN 2004»
15 years 3 months ago
The Feature Selection and Intrusion Detection Problems
Cyber security is a serious global concern. The potential of cyber terrorism has posed a threat to national security; meanwhile the increasing prevalence of malware and incidents o...
Andrew H. Sung, Srinivas Mukkamala
CVPR
2008
IEEE
15 years 11 months ago
Beyond sliding windows: Object localization by efficient subwindow search
Most successful object recognition systems rely on binary classification, deciding only if an object is present or not, but not providing information on the actual object location...
Christoph H. Lampert, Matthew B. Blaschko, Thomas ...