In this paper we present the common effort of Lear and XRCE for the ImageCLEF Visual Concept Detection and Annotation Task. We first sought to combine our individual state-of-the-a...
Thomas Mensink, Gabriela Csurka, Florent Perronnin...
In the context of the CLEF-IP 2010 classification task, we conducted a series of experiments with the Linguistic Classification System (LCS). We compared ment representations for p...
Abstract. This working notes paper describes our first participation in the ImageCLEF2010 Wikipedia Retrieval Task[1]. In this task, we mainly test our Quantum Theory inspired retr...
In this paper we present an approach to detect external plagiarism based on textual similarity. This is an efficient and precise method that can be applied over large sets of docum...
This paper presents the results of the team of the University of North Texas in the Wikipedia image retrieval track of Image-CLEF-2010. Our approach is based on performing translat...
Miguel E. Ruiz, Jiangping Chen, Karthikeyan Pasupa...
Abstract. After participating in last year's CLEF IP (2009) evaluation benchmark, our scores were rather low. The CLEF IP 2010 PAC task enabled us to correct some experiments ...
Wouter Alink, Roberto Cornacchia, Arjen P. de Vrie...
ImageCLEF's Wikipedia Retrieval task provides a testbed for the system-oriented evaluation of multimedia information retrieval from a collection of Wikipedia images. The aim i...
This paper describes the participation of DAEDALUS at the ImageCLEF 2010 Wikipedia Retrieval task. The main focus of our experiments is to evaluate the impact in the image retrieva...
The seventh edition of the ImageCLEF medical retrieval task was organized in 2010. As in 2008 and 2009, the collection in 2010 uses images and captions from the Radiology and Radio...
Over the past several years, our team has focused its efforts on improving retrieval precision performance by mixing visual and textual information. This year, we chose to explore ...