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Abstract: ( ) ( ) ( ) 1. ( ) 2. (Bayesian network, Bayesnet, belief network) [1, 2, 3, 4, 5] [6, 7, 8, 9, 10] 0 1 1 0 Xi, Xj Xi → Xj Xj Xi X1 X2 X4 X3 X5 X2 0 1 X4 0 0.8 0.4 1 0.2 0.6 æ¡ä»¶ä»˜ç¢ºçŽ‡è¡¨ P(X4|X2) P(X3|X1,X2） ï¼°ï½ï¼ˆï¼¸ï¼“） ï¼°ï½ï¼ˆï¼¸ï¼•ï¼‰ ï¼°ï½ï¼ˆï¼¸ï¼”） P(X５|X３,X４） 1: Bayesian network Xj Pa(Xj) Xj Pa(Xj) ( Pa(Xj) ) P(Xj | Pa(Xj)) (1) n X1 · · · , Xn (2) P(X1, · · · , Xn) = n � j=1 P(Xj | Pa(Xj)). (2) 1 1 3 Pa(Xj) = x1
Lightspeed Matlab toolbox
The Lightspeed Matlab toolbox by Tom Minka This toolbox is on github.
Hervé Jégou — Hervé Jégou
I am a former student of the Ecole Normale Superieure de Cachan, holding a M.S. (2002) and PhD (2005) from University of Rennes I. During my PhD, I worked on error-resilient compression and joint source channel coding. After that, I turned out to Computer Vision and Pattern Recognition. I joined the LEAR group (INRIA Grenoble) as a permanent researcher in 2006, and moved to INRIA Rennes in 2009. I
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