Driver's status is crucial because one of the main reasons for motor vehicular accidents is
related to driver's inattention or drowsiness. A drowsiness detector on a car can reduce …

In this paper, we identify two issues involved in developing an automated feature subset
selection algorithm for unlabeled data: the need for finding the number of clusters in …

Safety is key to civil aviation. To further improve its already respectable safety records, the
airline industry is transitioning towards a proactive approach which anticipates and mitigates …

This paper presents an algorithm for Interactive Co-segmentation of a foreground object
from a group of related images. While previous approaches focus on unsupervised co …

During conversations, speakers employ a number of verbal and nonverbal mechanisms to
establish who participates in the conversation, when, and in what capacity. Gaze cues and …

Forest fire occurrence is affected by multiple controls that operate at local to regional scales.
At the spatial scale of forest stands, regional climatic controls may be obscured by local …

This paper explores the problem of feature subset selection for unsupervised learning within
the wrapper framework. In particular, we examine feature subset selection wrapped around …

Abstract Predicting Unified Parkinson's Disease Rating Scale (UPDRS) in Total-UPDRS and
Motor-UPDRS clinical scales is an important part of controlling PD. Computational …

Gaussian mixture model (GMM) clustering has been extensively studied due to its
effectiveness and efficiency. Though demonstrating promising performance in various …

The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining
the representative route structure of the arrival and departure trajectory and extracting their …