As location-sensing smart phones and location-based services gain mainstream popularity, there is increased interest in developing techniques that can detect anomalous activities. Anomaly detection capabilities can be used in theft detection, remote elder-care monitoring systems, and many other applications. In this paper we present an ngram based model for modeling a user’s mobility patterns. ...

This demonstration presents the MediAssist prototype system for organisation of personal digital photo collections based on contextual information, such as time and location of image capture, and content-based analysis, such as face detection and recognition. This metadata is used directly for identification of photos which match specified attributes, and also to create text surrogates for phot...

Statistical Part-Based Models: Theory and Applications in Image Similarity, Object Detection and Region Labeling

We describe the design and construction of a component based face detector for gray scale images. We will show that including parts of the face into the negative training sets of the component classifiers leads to improved system performance. We introduce a method of using pairwise position statistics between component locations to more accurately locate the parts of a face. Finally, we illustr...

Fisher Vectors and related orderless visual statistics have demonstrated excellent performance in object detection, sometimes superior to established approaches such as the Deformable Part Models. However, it remains unclear how these models can capture complex appearance variations using visual codebooks of limited sizes and coarse geometric information. In this work, we propose to interpret F...

Nowadays, information plays an important role in organizations. Sensitive information is often stored in databases. Traditional mechanisms such as encryption, access control, and authentication cannot provide a high level of confidence. Therefore, the existence of Intrusion Detection Systems in databases is necessary. In this paper, we propose an intrusion detection system for detecting attacks...

An intrusion detection system (IDS) is a device or application that monitors all Host based IDS refers to intrusion detection that takes place on a single host. Host-based Intrusion Detection System (HIDS) and File Integrity Monitoring (FIM) policy violations, vulnerable software, or suspicious communications. An IDS can be a piece of installed software or a physical appliance Host intrusion de...

In this study, detection and identification of common faults in industrial gas turbines is investigated. We propose a model-based robust fault detection(FD) method based on multiple models. For residual generation a bank of Local Linear Neuro-Fuzzy (LLNF) models is used. Moreover, in fault detection step, a passive approach based on adaptive threshold is employed. To achieve this purpose, the a...