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Articles 20 registres trobats  anterior11 - 20  anar al registre: La cerca s'ha fet en 0.50 segons. 
11.
37 p, 312.9 KB Traumatic brain injury in late adolescent rats : effects on adulthood memory and anxiety / Amorós-Aguilar, Laura (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Portell Cortés, Isabel (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Costa Miserachs, David (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Torras Garcia, Meritxell (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Coll-Andreu, Margalida (Coll Andreu) (Universitat Autònoma de Barcelona. Institut de Neurociències)
The consequences of traumatic brain injury (TBI) sustained during late adolescence (7 weeks-old) on spontaneous object recognition memory and on anxiety-like behaviors in the elevated plus maze were tested in rats during adulthood. [...]
2015 - 10.1037/bne0000046
Behavioral neuroscience, Vol. 129, Num. 2 (2015) , p. 149-159  
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12.
14 p, 645.4 KB Vision Based Object Recognition and Localisation by a Wireless Connected Distributed Robotic Systems / Ahmed, M. Shuja (Sheffield Hallam University. Material and Engineering Research Institute) ; Saatchi, Reza (Sheffield Hallam University. Material and Engineering Research Institute) ; Caparrelli, Fabio (Sheffield Hallam University. Material and Engineering Research Institute)
Object recognition and localisation are important processes in computer vision and robotics. Advances in computer vision have resulted in many object recognition techniques, but most of them are computationally very intensive and require robots with powerful processing systems. [...]
2012 - 10.5565/rev/elcvia.486
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, Núm. 1 (2012) , p. 54-67  
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13.
12 p, 2.6 MB A Performance Evaluation of Exact and Approximate Match Kernels for Object Recognition / Caputo, Barbara (Idiap Research Institute (Martigny, Suïssa)) ; Jie, Luo (Idiap Research Institute (Martigny, Suïssa))
Local features have repeatedly shown their effectiveness for object recognition during the last years, and they have consequently become the preferred descriptor for this type of problems. The solution of the correspondence problem is traditionally approached with exact or approximate techniques. [...]
2009 - 10.5565/rev/elcvia.350
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 8, Núm. 3 ( 2009) , p. 15-26  
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14.
14 p, 889.7 KB Class Specific Object Recognition using Kernel Gibbs Distributions / Caputo, Barbara (Idiap Research Institute (Martigny, Suïssa))
Feature selection is crucial for effective object recognition. The subject has been vastly investigated in the literature, with approaches spanning from heuristic choices to statistical methods, to integration of multiple cues. [...]
2008 - 10.5565/rev/elcvia.221
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 2 (2008) p. 96-109  
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15.
14 p, 1.1 MB Matching Local Invariant Features with Contextual Information : an Experimental Evaluation / Sidibe, Desire (LGI2P - Ecole des Mines Ales (Nimes, França)) ; Montesinos, Philippe (LGI2P - Ecole des Mines Ales (Nimes, França)) ; Janaqi, Stefan (LGI2P - Ecole des Mines Ales (Nimes, França))
The main advantage of using local invariant features is their local character which yields robustness to occlusion and varying background. Therefore, local features have proved to be a powerful tool for finding correspondences between images, and have been employed in many applications. [...]
2008 - 10.5565/rev/elcvia.271
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 1 (2008) p. 26-39  
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16.
11 p, 731.8 KB Optimal Geometric Matching for Patch-Based Object Detection / Keysers, Daniel (German Research Center for Artificial Intelligence (Kaiserslautern, Alemanya)) ; Deselaers, Thomas (Human Language Technology and Pattern Recognition Group (Aachen, Alemanya)) ; Breuel, Thomas M. (German Research Center for Artificial Intelligence (Kaiserslautern, Alemanya))
We present an efficient method to determine the optimal matching of two patch-based image object representations under rotation, scaling, and translation (RST). This use of patches is equivalent to a fullyconnected part-based model, for which the presented approach offers an efficient procedure to determine the best fit. [...]
2007 - 10.5565/rev/elcvia.136
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 1 (2007) , p. 44-54  
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17.
17 p, 263.4 KB Genetic Programming for Object Detection : a Two-Phase Approach with an Improved Fitness Function / Zhang, Mengjie (Victoria University of Wellington (Wellington, Nova Zelanda). School of Mathematics, Statistics and Computer Science) ; Bhowan, Urvesh (Victoria University of Wellington (Wellington, Nova Zelanda). School of Mathematics, Statistics and Computer Science) ; Ny, Bunna (Victoria University of Wellington (Wellington, Nova Zelanda). School of Mathematics, Statistics and Computer Science)
This paper describes two innovations that improve the efficiency and effectiveness of a genetic programming approach to object detection problems. The approach uses genetic programming to construct object detection programs that are applied, in a moving window fashion, to the large images to locate the objects of interest. [...]
2007 - 10.5565/rev/elcvia.135
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 1 (2007) p. 27-43  
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18.
17 p, 752.5 KB Fast 3D-Vision System to Classify Metallic Coins by their Embossed Topography / Hossfeld, Michael (Hamburg University of Technology) ; Chu, Weiyi (Hamburg University of Technology) ; Eich, Manfred (Hamburg University of Technology) ; Adameck, Markus (Hella KGaA Hueck & Co. (Lippstadt, Alemanya))
This paper presents a security-related machine-vision solution for real-time classification of moving objects with highly reflective metallic surfaces and complex 3D-structures. As an application example of our so called Three-Color Selective Stereo Gradient Method (Three-Color SSGM) a classification system for three main coin denominations of Euro coins is presented. [...]
2006 - 10.5565/rev/elcvia.117
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 4 (2006) p. 47-63  
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19.
14 p, 993.9 KB Contextual System of Symbol Structural Recognition based on an Object-Process Methodology / Delalandre, Mathieu (Université de Rouen. PSI Laboratory) ; Trupin, Eric (Université de Rouen. PSI Laboratory) ; Ogier, Jean-Marc (Université de La Rochelle. L3I Laboratory) ; Labiche, Jacques (Université de Rouen. PSI Laboratory)
We present in this paper a symbol recognition system for the graphic documents. This one is based on a contextual approach for symbol structural recognition exploiting an Object-Process Methodology. [...]
2005 - 10.5565/rev/elcvia.93
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 2 (2005) p. 16-29  
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20.
11 p, 304.6 KB Automatic instrument localization in laparoscopic surgery / Climent, Joan (Universitat Politècnica de Catalunya) ; Marés, Pere (Universitat Politècnica de Catalunya)
This paper presents a tracking algorithm for automatic instrument localization in robotically assisted laparoscopic surgery. We present a simple and robust system that doesn't need the presence of artificial marks, or special colours to distinguish the instruments. [...]
2004 - 10.5565/rev/elcvia.70
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 4 n. 1 (2004) p. 21-31  
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