Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abstract—Runtime monitoring, where some part of a program’s behavior and/or data is observed during execution, is a very useful technique that software developers to use for un...
Energy, power, and area efficiency are critical design concerns for embedded processors. Much of the energy of a typical embedded processor is consumed in the front-end since inst...
We suggest that a combination of randomization and gossip communication can be used to overcome scalability barriers that limit the utility of many technologies for distributed sys...
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...