Crowd sourcing provides a cheap and fast way to obtain speech transcriptions. The crowd size available for a task is inversely proportional to the skill requirements. Hence, there has been recent interest in studying the utility of mismatched crowd workers, who provide transcriptions even without knowing the source language. Nevertheless, these studies have required that the worker be capable o...

The web contains a tremendous number of data sets presented visually, which computers cannot currently read. Most people, however, understand the data sets with little difficulty, suggesting the potential for applying the techniques of crowd-sourcing to the problem of understanding web data sets. In this thesis we study several issues with respect to crowd-sourcing a collection of wrappers, or ...

A systems approach reveals emergent group behavior of an assembly of interacting elements, networks, and subgroups, using modeling and simulation analyses that are capable of handling massive data and complex structures. As system complexity and data sizes increase, efficient collaboration becomes crucial to construct, refine, and analyze the model in a timely manner. A solution may be "crowd s...

In this paper we describe applications, research issues, and approaches related to Intelligent Transportation Systems (ITS). More specifically, we focus on spatio-temporal databases in urban transportation. We address the issues of trip planning and navigation, abstraction of concepts from spatio-temporal sensor data, mobile peer-to-peer data management, and social networks and crowd-sourcing. ...

In this paper we propose a non-metric rankingbased representation of semantic similarity that allows natural aggregation of semantic information from multiple heterogeneous sources. We apply the ranking-based representation to zeroshot learning problems, and present deterministic and probabilistic zero-shot classifiers which can be built from pre-trained classifiers without retraining. We demon...

In this paper we present our approach to the Crowd Sourcing Task of the MediaEval 2013 Benchmark [2] using transfer learning and visual features. For the visual features we adopt an existing approach for search based classification using content based image retrieval on global features with feature selection and feature combination to boost the performance. Our approach gives a baseline evaluat...