Search personalization has been pursued in many ways, in order to provide better result rankings and better overall search experience to individual users [5]. However, blindly app...
Julia Luxenburger, Shady Elbassuoni, Gerhard Weiku...
With the emergence of applications that require content-based similarity retrieval, techniques to support such a retrieval paradigm over database systems have emerged as a critica...
Michael Ortega-Binderberger, Kaushik Chakrabarti, ...
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...