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Titlebook: Neural Information Processing; 16th International C Chi Sing Leung,Minho Lee,Jonathan H. Chan Conference proceedings 2009 Springer-Verlag B

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41#
發(fā)表于 2025-3-28 18:36:48 | 只看該作者
Kazi Shah Nawaz Ripon,Kyrre Glette,Omid Mirmotahari,Mats H?vin,Jim T?rresene applied for structuring functionality in modules, this is not the case at the build level for structuring files in directories. This leads to a situation where files are entangled in directory hierarchies and build processes, making it hard to extract functionality and to make functionality suitab
42#
發(fā)表于 2025-3-28 19:49:09 | 只看該作者
43#
發(fā)表于 2025-3-29 02:00:10 | 只看該作者
Obstacle Categorization Based on Hybridizing Global and Local Featuresnew obstacle identification method, which is hybrid the global feature and local feature, is proposed for robustly recognizing an obstacle with and without occlusion. For the global analysis, we propose the modified GIST based on biologically motivated the C1 feature, which is robust to image transl
44#
發(fā)表于 2025-3-29 04:45:09 | 只看該作者
Defect Detection and Classification in Citrus Using Computer Visioned for the automatic classification of fruits using vision systems. However, fault detection in the citrus surface is carried out by means of human inspection. In this work, a computer vision system capable of detecting defects in the citrus peel and also classifying the type of flaw is presented. F
45#
發(fā)表于 2025-3-29 11:04:20 | 只看該作者
46#
發(fā)表于 2025-3-29 13:41:00 | 只看該作者
Generating Self-organized Saliency Map Based on Color and Motionrier Transform was discussed. We propose a new method which generates a saliency map by using self-organized filters and not by using general filters such as Fourier transform. We extend the ICA base function estimation to the non-regular positioned photoreceptor cells, which receive the hue image,
47#
發(fā)表于 2025-3-29 19:37:15 | 只看該作者
Co-occurrence of Intensity and Gradient Features for Object Detectionnsions used only image intensity. However, it is well known that the gradient information of image intensity is very important for the object recognition [2][9]. So in this paper, we propose a feature which uses both intensity and gradient informations. Our feature, called “Co-Occurrence Feature (CO
48#
發(fā)表于 2025-3-29 22:37:55 | 只看該作者
49#
發(fā)表于 2025-3-30 01:46:09 | 只看該作者
50#
發(fā)表于 2025-3-30 05:10:16 | 只看該作者
Vision-Motor Abstraction toward Robot Cognitionr motor areas in the brain without actual sensory input and/or without any resulting behavior. This phenomenon is usually used by the organisms to cope with missing external inputs. Applying such a phenomenon in a real robot recently has taken the attention of many researchers. Although some work ha
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