... R turns up with an unexpected / n- / : B m� -kan G mik - kan R n�khan ' face ' ; B megon G mikgron mikron R neken ' eye ' . ~ rai - din re r� ' cane , cane CORRELATIVE ANALYSIS OF BODO , GARO AND RABHA 533 7.2.1.5 The nasals.
... G(MIk) occurs in G(M), then Algorithm 1 finds it. Suppose G = G(MIk) occurs in G(M). Then among all the guessed 5-uplets x,y,z,A,B (Line 1), there should be at least one guess such that x,y,z,A,B are part of the vertices of G . By�...
... ( G ) = ( mik ) of the Burnside matrix B ( G ) ( bik ) was introduced by Burnside ( 1911 , [ 20 ] ) and called the table of marks , as it was mentioned already . Sometimes it is also called the supercharacter table for a reason which will�...
... g MIK III 6378 d MIK III 6379 a - h MIK III 6387 MIK III 6388 MIK III 6626 MIK III 7283 MIK III 7285 MIK III 8259 MIK III 6913 a - c MIK III 6914 a - e MIK III 6915 a , b MIK III 6916 Unnumbered Item MIK III 6917 MIK III 6918 MIK III�...
... G ( Mik ) TB k G ( Milk ) ΓΑ B сх Cz DEF k + 1 сх G ( M ) G ( Mv ) G ( Milk ) ' A A Cw Cz ( B B C D C D k + 1 A H Xw D Fig . 1. Forbidden bipartite graphs [ 27 ] . Black ( resp . white ) vertices correspond to rows ( resp . columns ) of�...
... g mik = 0 mik li + gik ( gmi jl , i ) + gmi = 0 or 1 Əgmk jk m + gjl mik + gil = 0 дх This follows ij g = 0 . , k ... g " mk = 0 i iii . Following the result ( 4.10.2 ) , the x - covariant derivative of g can be written as i g . j , k�...
... G ( Mik ) QkGk ( Mik ) We are led to the following theorem . � ƒk ( Xk ) 8k ( Xk ) W , ( 4.9a ) ( 4.9b ) p ( xx | Zx ) THEOREM 4.2 . With xx + 1 = f ( xx ) + gx ( xx ) wx as in ( 4.1 ) and p ( xx Zx ) expressed as the gaussian sum ( 4.8 )�...
... G(Mik , W(I i , Da ik-1 + ΔD)) over the space of all possible improvements ΔD. –The optimal improvement ΔD i k - After the deformations of all images have been improved, the improvements are added to the previously learnt deformations�...
... g . MIK ElecEng plc shareholders have always been rewarded with substantial dividends ( � 900,000 ) as it is necessary to ensure they continue to invest in the company and also to attract new investment . If shareholders did not receive�...
... g ( mik , Xi ) mik = � ( Xi , X ) hi kЄNi ( 1 ) where mik is the aggregate of the feature vectors x ; and x of nodes i and k , respectively , computed using a permutation invariant function . A readout function f H → Y then processes�...