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Titlebook: Industrial Crops; Breeding for BioEner Von Mark V. Cruz,David A. Dierig Book 2015 Springer Science+Business Media New York 2015 BioEnergy.I

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Greg Constable,Danny Llewellyn,Sally Ann Walford,Jenny D. Clementove directly to a layer that can distinguish fine-grained differences? Currently, a network would first need to execute sometimes hundreds of intermediate layers that specialize in unrelated aspects. Ideally, the more a network already knows about an image, the better it should be at deciding which
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Marisol T. Berti,Russ W. Geschg body parts helps resolve low-level ambiguities in human pose estimation (HPE). However, prior compositional models make unrealistic assumptions on subpart-part relationships, making them incapable to characterize complex compositional patterns. Moreover, state spaces of their higher-level parts ca
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Terry A. Coffelt,Dennis T. Ray,David A. Dierig which resemble lower counterparts in the higher layer should be activated. However, the computational complexity becomes a bottleneck for scaling up to larger networks, as lower capsules need to correspond to each and every higher capsule. To resolve this limitation, we approximate the routing proc
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Miroslava Rajcaniova,Pavel Ciaian,Dusan Drabik, with applications ranging from modeling to robotics, through augmented reality. Nevertheless, their use is limited by their low resolution, with frames often corrupted with noise, missing data and temporal inconsistencies. Our approach, named ., consists in generating and updating through time a s
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