Paper Info
Title
Baseline Multimodal Place Classifier for the 2012 Robot Vision Task.
Abstract
The objective of this article is reporting the participation of the SIMD-IDIAP group in the RobotVision@ImageCLEF 2012 challenge. This challenge addresses the problem of multimodal place classification, and the 2012 edition has been organized by the members of the SIMDIDIAP team. One of the main novelties in the 2012 edition of the task has been the proposal of several techniques for features extraction and cue integration. This paper details how to use all these techniques for developing a multimodal place classifier and describes the results obtained with it. Our approach ranked 7th for task 1 and 4th for task 2. The complete results for all the participants of the 2012 RobotVision task are also reported in this article.
Year
Venue
Field
2012
CLEF (Online Working Notes/Labs/Workshop)
Robot vision,Ranking,Computer science,Artificial intelligence,Classifier (linguistics),Machine learning,Cue integration
DocType
Citations 
PageRank 
Conference
2
0.36
References 
Authors
7
3
Name
Order
Citations
PageRank
Jesus Martínez-Gómez111511.09
Ismael García-varea227536.16
Barbara Caputo33298201.26