Titlebook: Human Interactive Proofs; Second International Henry S. Baird,Daniel P. Lopresti Conference proceedings 2005 Springer-Verlag Berlin Heidelb

变色龙

Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs)ken using machine learning. The stronger HIPs tend to pose a combination of segmentation and recognition challenges. Further, the HIP user studies show that given correct segmentation, computers are much better at HIP character recognition than humans. In light of these results, we propose that segm

Chandelier

北极人

Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/279460.jpg

Canary

Experimental Search for Gluonic Mesonsted that “meson states would appear that act as if they were made of gluons rather than q. pairs”. These states would build “a sequence of extra SU(3) singlet meson states”; flavour SU(3) nonets could no longer describe all the low mass mesons.

Jacket

sixty-six cases are then identified for major powers going back to 1494 and for other states from 1816 to 2020. The type(s) of each rivalry are also listed: positional, spatial, ideological, and interventionary. Positional rivalries are focused on disputes about hierarchy and relative influence, usu