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mi.eng.cam.ac.uk/~cipolla/publications/article/1994-BMVC-Wright-skeletonisation.pdf13 Mar 2018: H#" $'>& 5Jg$&5$&>' #"% Gg -F8 %$&G&5 >&, (1 K 2 J3#+J# g $&G9 "% # 15$&AJ#$&Fd,5 @J# 4,5 ,:4 =Ka K 2 J( $&= -
Reward Estimation for Dialogue Policy Optimisation Pei-Hao Su, Milica …
mi.eng.cam.ac.uk/~sjy/papers/sugy18.pdf20 Feb 2018: kA(a,a′). The. policy is optimised using an algorithm called GP-SARSA [7, 45] in which theQ-function is updated by calculating the posterior given the collected belief-action pairs ... The summary action kernel is defined as:. kA(a,a′) = δa(a. ′) -
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mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1994-ECCV-Lawn-egomotion.pdf13 Mar 2018: #"%$&%&'. () ,-/.0. 132 45 76 5"%8:9; "%5$$"%&<&=$>5@?A #BDCE.0. FG$ H!I9J?KL"% "<4LMG"%65 "%N+!9J HO "%LPQ)4H!$"%LSR HO4"%LT #UIV8-/W;X? K4L&'? KH7"<&ZY[H!&']GL 2 H E 2 )_. bacKdfe>g!hiajagklamnh@e>g/kojpg/kqamr s ajutwvxmQyz{agklamn|@p s p}o}lp. -
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mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1996-ECCV-Cham-grouping.pdf13 Mar 2018: #"$% # &'#(),-. '/01 (2345/6/2789 $%:; '. <&=?>A@ABDCE2FGH=JI!=?ELKNM9ODPQCRS>TOFUWVHOYXZX[=. ]S_aSbAc]TdDbefhghdijkd]l]TaAjkdimndDjpo3]TaSqrjpbts/ef;u&_vc9wDaAjpxDi3]. u&_vc9wDaAjpxDi3]:u#y z{l|#}Qgdip_dx. -
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mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/1993-BMVC-Hollinghurst-uncalibrated.pdf13 Mar 2018: Q<n>j> (jC)CjN)jF)¥sC?N)jQAN>85, jf. <n5)njCC?n,BXnnd)B5> /)Ch)dKj> KÅ@RjjjCr njnC /nj?Djr &%# <nFd CjOC?5 j)hnjC)ChC jA88jL,CC5 -
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mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1996-ECCV-Astrom-epipolar.pdf13 Mar 2018: ÃÄ-,90/ªÀ=4"!t4M9sÌ:4ÊtA%&Ì:C=90A'4<UKtæ4A'?&>-,"$+?A'Ê$&,&ÁÆ646A'ûtÀM&ADBAD/QCM#'&/&4<?&>5ÚÌ:Æ6A'ÁÆ8-?&>Á9sÊ0&-UX+,Æ6&/Q"wÉtAD/kÀ=/#%A#!w&#%ADÆM9t9M52&,? ... ÀM+:,&4A'?&-U"w+,A%9<46Ì}&-,&46&&56&58+?9ËE4658UÆM& /A'4MAD/kÀ=/K. -
Dialogue manager domain adaptation using Gaussian process…
mi.eng.cam.ac.uk/~sjy/papers/gmrs17.pdf20 Feb 2018: kA(a,a′). For a training sequence of belief state-action pairs B = [(b0,a0),. , ... kA(a,a′) = δa(a. ′) (6). where δa(a′) = 1 iff a = a′, 0 otherwise. -
calib.dvi
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2000-ECCV-Malis.pdf13 Mar 2018: KÁ?AIÐOÔR_?A@JI ¿ÛÒõÛ"ø#FS?AI¿ØD4I? AI¿?ÒRS?GD4E)ØJçOF_Fx@4Ñ&RSÙ¿OÔ-D4xOQ_DUDJQ_DJxORSOQ_FCÔ-@JxU¿çR_OMRSÙ¿O,I@JQ_ÁD4EA?GFO%K. ... O#Q_O-U¿Q_OFSO-IZR FRSÙO8xO%D4IO-Q_QS@VQ7Ô@VxU¿çRSO%KÂ@JI õïRSQ_?GD4EGFCò?ÒRSÙ K?Òú -
On-line Active Reward Learning for Policy Optimisationin Spoken…
mi.eng.cam.ac.uk/~sjy/papers/sgmb16.pdf20 Feb 2018: Zhang and Chaudhuri2015] Chicheng Zhang and Ka-malika Chaudhuri. 2015. Active learning fromweak and strong labelers. -
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mi.eng.cam.ac.uk/~cipolla/publications/article/1997-IVC-face-detection-old.pdf13 Mar 2018: #"$. %&(') -,.,/'1023,54765'89:,<;=#>@?A,) &(BC,/DEDF6GIHKJMLONQP RASUTKPJMTOVWN1XIYZ1[]. M_ 0 _1? IaUb<b/c. d:'1&(e<=#> &(?gf,ihj)6ik ;1>@&F8l0/=m=#BC65>A?@kn=#'l?3,ihjop'10/&('1=#=#>A&E'-0. qp> _ kB1&('10/?@,<'rQ?@>@=s=#?)65k ;1>A&t8Q0<=M)u
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