LACBoost and FisherBoost: Optimally building cascade classifiers

Engineering

• Nodes 100%
• Tasks 50%
• Computervision 50%
• Experimental Result 50%
• Selection Method 50%
• Cost Function 50%
• State-of-the-Art Method 50%
• Classification Error 50%
• Feature Extraction 50%
• Detection Performance 50%
• Addressing Method 50%

Computer Science

• Boosting Algorithms 100%
• Classifier Cascade 100%
• Object Detection 50%
• Computer Vision 25%
• Face Detection 25%
• Convex Optimization 25%
• Experimental Result 25%
• Detection Performance 25%
• Feature Selection 25%
• De Facto Standard 25%
• Detection Rate 25%
• Classification Error 25%
• Column Generation 25%

Neuroscience

• Face 100%