KSRCKernel Source
KSRCKent Science Resource Centre (UK)
KSRCKashima Space Research Center (Japan)
KSRCKawasaki Sportsbike Riders Club (Australian Kawasaki web forum)
KSRCKentucky Society for Respiratory Care (Lexington, KY)
KSRCKeyStone Research Corporation (Erie, PA)
References in periodicals archive ?
We compute the ARRs and ORRs of KSRC and KSRBBHC for ROI-I with varying kernel parameter a and sparsity level [K.
0] when the parameter is smaller than 6; then the performances of SRC and KSRC keep increasing smoothly with [K.
In detail, for ROI-I, because of the mixture of desired target and background, the SVMC, SRC, and KSRC mistake desired target to background to a great extent.
Class SVMC SRC KSRC SRBBHC KSRBBHC 1 19 73 59 100 100 2 0 55 36 100 100 3 64 3 36 100 100 4 35 54 48 100 100 5 80 56 61 100 100 Background 100 91.
We can see that MKSRC algorithm retains higher performance than SRC and KSRC.
From the experiment without occlusion, we can see the proposed MKSRC method not only outperforms the SRC, but also outperforms the KSRC.
On the high-dimensional data such as face images, KSRC algorithm has got better performance than SRC, but KSRC algorithm does not make full use of kernel information.