Most models for online advertising assume that an advertiser's value from winning an ad auction, which depends on the clickthrough rate or conversion rate of the advertisemen...
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
After two decades of effort, type inference for dynamically typed languages scales to programs of a few tens of thousands of lines of code, but no further. For larger programs, th...
Preventive measures sometimes fail to deflect malicious attacks. In this paper, we adopt an information warfare perspective, which assumes success by the attacker in achieving part...
The popularity of zonal based algorithms for block based motion estimation has been recently increasing due to their superior performance in both terms of reduced complexity and s...
Alexis M. Tourapis, Hye-Yeon Cheong, Ming L. Liou,...