By Genci Capi, Hideki Toda, Shin-Ichiro Kaneko (auth.), Lazaros Iliadis, Ilias Maglogiannis, Harris Papadopoulos (eds.)
The two-volume set IFIP AICT 363 and 364 constitutes the refereed lawsuits of the twelfth overseas convention on Engineering purposes of Neural Networks, EANN 2011, and the seventh IFIP WG 12.5 overseas convention, AIAI 2011, held together in Corfu, Greece, in September 2011. The fifty two revised complete papers and 28 revised brief papers offered including 31 workshop papers have been rigorously reviewed and chosen from a hundred and fifty submissions. the second one quantity comprises the papers that have been approved for presentation on the AIAI 2011 convention. they're geared up in topical sections on machine imaginative and prescient and robotics, classification/pattern attractiveness, monetary and administration purposes of AI, fuzzy structures, studying and novel algorithms, recurrent and radial foundation functionality ANN, computer studying, usual algorithms, info mining, reinforcement studying, net functions of ANN, clinical purposes of ANN and ethics of AI, and environmental and earth applicatons of AI. the quantity additionally includes the authorised papers from the 1st Workshop on Computational Intelligence in software program Engineering (CISE 2011) and the Workshop on synthetic Intelligence functions in Biomedicine (AIAB 2011).
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Extra resources for Artificial Intelligence Applications and Innovations: 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings , Part II
Layers of processing channels similar to the ventral and dorsal streams of the visual cortex . In these models the dorsal stream process has been implemented by means of a saliency algorithm to locate the positions of the most “prominent” regions of interest for visual attention. To mimic the simple and complex cell operations in the primary visual cortex for object recognitions, the cortex ventral stream process has been commonly presented in alternating layers of simple (S-layers) and complex (Clayers) operations.
Rectang gular boxes illustrate the feature templates of varying siizes. Extraction occurs in FHLIB (ccentre) “blindly” while in C1 map from SFHLIB (right) patcches are extracted from the salient ROI. R across input images. Moreo over, it becomes difficult to estimate the number of featuures or feature sizes ideally req quired. e. storing the location coordinates from whhich an S2 template was found so s that a respective area in a testing image is compared, led to the conclusion that such h a system becomes specialised in recognising objectss in similar locations .
Besides illustrating theories of active vision, this model suggests new ways to implement vision and intrinsic motivation in artificial systems. Specifically, we coupled an intrinsically motivated schema mechanism with a visual system. To connect vision with sequences, we made the visual system react to movements in the visual field rather than merely transmitting static patterns. Keywords: Cognitive development, Intrinsic Motivation, Artificial Intelligence, Cognitive Science, Intelligent agents, Machine learning, Computer simulation.