We are developing an acoustic habitat-monitoring sensor network that recognizes and locates specific animal calls in real time. In this paper, we investigate the system requirements of such a real-time acoustic monitoring network. We propose a system architecture and a set of lightweight collaborative signal processing algorithms that achieve real-time behavior while minimizing inter-node commu...

We present an approach for vehicle classification in IR video sequences by integrating detection, tracking and recognition. The method has two steps. First, the moving target is automatically detected using a detection algorithm. Next, we perform simultaneous tracking and recognition using an appearance-model based particle filter. The tracking result is evaluated at each frame. Low confidence ...

The article describes a classification system termed "extended functional groups" (EFG), which are an extension of a set previously used by the CheckMol software, that covers in addition heterocyclic compound classes and periodic table groups. The functional groups are defined as SMARTS patterns and are available as part of the ToxAlerts tool (http://ochem.eu/alerts) of the On-line CHEmical dat...

This study examined the reach and impact of a social marketing intervention to reduce HIV risk among heterosexually identified (HI) Latino men who have sex with men and women (MSMW). Repeated cross-sectional intercept surveys were conducted in selected community venues during and after the campaign with 1,137 HI Latino men. Of them, 6% were classified as HI Latino MSMW. On average, 85.9% of the...

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...