Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
Jay Yagnik, Dennis Strelow, David Ross, Ruei-sung ...
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
It is well-established finding that people find maps easier to use when they are aligned so that "up" on the map corresponds to the user's forward direction. With m...
Code libraries are characterized by feature-richness — and, consequently, high overhead. The library specialization problem is the problem of obtaining a low-overhead version of...
To probe network characteristics, two predominant ways of network comparison are global property statistics and subgraph enumeration. However, they suffer from limited information...