Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
We investigate the problem of matching buyers and sellers in a multi-item multi-unit combinatorial exchange so as to maximize either the surplus (revenue minus cost) or the tradin...
Smaller feature sizes, reduced voltage levels, higher transistor counts, and reduced noise margins make future generations of microprocessors increasingly prone to transient hardw...
Transactions offer a powerful data-access method used in many databases today trough a specialized query API. User applications, however, use a different fileaccess API (POSIX) wh...
Richard P. Spillane, Sachin Gaikwad, Manjunath Chi...