Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
We present a study of all sources of aliasing in over one million lines of C code, identifying in the process the common patterns of aliasing that arise in practice. We find that ...
People regularly interact with different representations of Web pages. A person looking for new information may initially find a Web page represented as a short snippet rendered b...
Jaime Teevan, Edward Cutrell, Danyel Fisher, Steve...
Could people use tagging to manage day-to-day work in their personal computing environment? Could tagging be sufficiently generic and lightweight to support diverse ways of workin...
Gerard Oleksik, Max L. Wilson, Craig S. Tashman, E...