K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Though toolkits exist to create complex crowdsourced workflows, there is limited support for management of those workflows. Managing crowd workers and tasks requires significant i...
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Abstract. Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the ...
Zooming user interfaces are increasingly popular on mobile devices with touch screens. Swiping and pinching finger gestures anywhere on the screen manipulate the displayed portion...