Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
This paper evaluates the input performance capabilities of Velocity Threshold (I-VT) and Kalman Filter (I-KF) eye movement detection models when employed for eye-gaze-guided inter...
Do Hyong Koh, Sandeep A. Munikrishne Gowda, Oleg V...
Cascadia is a system that provides RFID-based pervasive computing applications with an infrastructure for specifying, extracting and managing meaningful high-level events from raw...
Performance analysis tools are critical for the effective use of large parallel computing resources, but existing tools have failed to address three problems that limit their scal...
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...