Learning to recognize 3D objects with SNoW

Computer Science

• Object Recognition 100%
• Support Vector Machine 66%
• Networks 66%
• Experimental Result 33%
• Nearest Neighbour 33%
• Recognition Rate 33%
• Training Data 33%
• Computational Cost 33%
• Feature Space 33%
• Learning Algorithm 33%
• Learned Feature 33%
• Linear Function 33%
• Object (Databases) 33%
• Representation 33%