http:/parnec.nuaa.edu.cn Motivation 12 min 2i(, f(x, ))+2 l lF prior information of features for better generalization
Company name www.themegallery.com Motivation n i=1 min ( , ( )) || || i i F l y f x f + + prior information of features for better generalization 11 12 1 21 22 2 1 2 d d n n nd n d x x x x x x x x x
http:/parnec.nuaa.edu.cn Contents Motivation Incorporating prior knowledge on features into learning (AISTATS) Regularized learning with networks of features (7Fs78) Conclusion
Company name www.themegallery.com Contents Motivation Regularized learning with networks of features (NIPS’08) Incorporating prior knowledge on features into learning (AISTATS’07) Conclusion
http:/parnec.nuaa.edu.cn Incorporating prior knowledge on features into learning(AISTATS'o7) ●MotⅤ ation OKernel design by meta-features ● a toy example handwritten digit recognition aided by meta-features O Towards a theory of meta-features
Company name www.themegallery.com Incorporating prior knowledge on features into learning (AISTATS’07) ⚫ Motivation ⚫Kernel design by meta-features ⚫ A toy example ⚫ Handwritten digit recognition aided by meta-features ⚫ Towards a theory of meta-features
http:/parnec.nuaa.edu.cn Incorporating prior knowledge on features into learning (A/STATS'O7 ●MotⅤ ation KErnel design by meta-features ● A toy examp le O Handwritten digit recognition aided by meta-features O Towards a theory of meta-features
Company name www.themegallery.com Incorporating prior knowledge on features into learning (AISTATS’07) ⚫ Motivation ⚫Kernel design by meta-features ⚫ A toy example ⚫ Handwritten digit recognition aided by meta-features ⚫ Towards a theory of meta-features
http:/parnec.nuaa.edu.cn Incorporating prior knowledge on features into learning (A/STATS07 Image recognition task Feature: pixel(gray level) Coordinate(x,y)of pixel can be treated as Feature of features: meta-feature Feature with similar meta-feature, or more specifically, adjacent pixel should be assigned similar weights Propose a framework incorporating meta-features into learning
Company name www.themegallery.com Incorporating prior knowledge on features into learning (AISTATS’07) Image recognition task Feature : pixel (gray level) Coordinate (x,y) of pixel can be treated as Feature of features: meta-feature Propose a framework incorporating meta-features into learning Feature with similar meta-feature, or more specifically, adjacent pixel should be assigned similar weights