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CLEF
2005
Springer
14 years 2 months ago
FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval
In this paper the methods we used in the 2005 ImageCLEF content-based image retrieval evaluation are described. For the medical retrieval task, we combined several low-level image ...
Thomas Deselaers, Tobias Weyand, Daniel Keysers, W...
ICDIM
2007
IEEE
14 years 25 days ago
Using watersheds segmentation on ISAR image for automatic target recognition
This paper deals with the processing adopted for shape extraction from the 2D-presentation (image) in radar automatic target recognition field. The goal is to provide helpful info...
Abdelmalek Toumi, Brigitte Hoeltzener, Ali Khencha...
GECCO
2010
Springer
232views Optimization» more  GECCO 2010»
13 years 10 months ago
Genetic algorithms for automatic classification of moving objects
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
Omid David-Tabibi, Nathan S. Netanyahu, Yoav Rosen...
IROS
2007
IEEE
100views Robotics» more  IROS 2007»
14 years 3 months ago
Humanoid robot noise suppression by particle filters for improved automatic speech recognition accuracy
Automatic speech recognition on a humanoid robot is exposed to numerous known noises produced by the robot’s own motion system and background noises such as fans. Those noises i...
Florian Kraft, Matthias Wölfel
PAMI
2011
12 years 11 months ago
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...