Fast end-to-end learning on protein surfaces
… accurately, we associate an atomic … study for chemical and geometric features, depicted in
Figure 6. They suggest that the concatenation of geometric curvatures to the vector of learned …
Figure 6. They suggest that the concatenation of geometric curvatures to the vector of learned …
[HTML][HTML] Scan to BIM for the digital management and representation in 3D GIS environment of cultural heritage site
… models and, subsequently, the parameterisation of individual objects in the BIM environment,
it is possible to associate … and to obtain a high degree of detail, both from a geometric and …
it is possible to associate … and to obtain a high degree of detail, both from a geometric and …
Learning to infer and execute 3d shape programs
… a set of points or a composition of geometric primitives: we also … focus more on low-level
geometry but less on these higher-… geometry of the primitive; instead, they associate geometric …
geometry but less on these higher-… geometry of the primitive; instead, they associate geometric …
A survey of adaptive resonance theory neural network models for engineering applications
… models, thereby painting a general picture of the architectures developed by researchers
over the past 30 years. The learning dynamics of these ART models … corresponding geometric …
over the past 30 years. The learning dynamics of these ART models … corresponding geometric …
[HTML][HTML] HBIM for conservation: A new proposal for information modeling
N Bruno, R Roncella - Remote Sensing, 2019 - mdpi.com
… here is non-geometrical information management in HBIM … procedure in the BIM environment,
the analysis of the state of … model’s parameters, the implemented system can associate …
the analysis of the state of … model’s parameters, the implemented system can associate …
Form2fit: Learning shape priors for generalizable assembly from disassembly
… We establish geometric correspondences between object surfaces and their target placement
locations (eg empty holes/cavities) by learning a fully convolutional network that maps …
locations (eg empty holes/cavities) by learning a fully convolutional network that maps …
Geometry guided pose-invariant facial expression recognition
… learning model that allows to simultaneous facial image synthesis and pose-invariant facial
expression recognition by exploiting shape geometry … The associate editor coordinating the …
expression recognition by exploiting shape geometry … The associate editor coordinating the …
A self-learning dynamic path planning method for evacuation in large public buildings based on neural networks
Y Peng, SW Li, ZZ Hu - Neurocomputing, 2019 - Elsevier
… In this study, a dynamic path planning approach based on neural networks is … model is
still a tedious and error-prone task. Accurate geometry data and a number of environmental …
still a tedious and error-prone task. Accurate geometry data and a number of environmental …
Hierarchical representations and explicit memory: Learning effective navigation policies on 3d scene graphs using graph neural networks
… boost performance by explicitly encoding geometric, topological, and … Several works associate
object detections with prior embeddings to … [11] propose learning semantic and geometric …
object detections with prior embeddings to … [11] propose learning semantic and geometric …
A general model of hippocampal and dorsal striatal learning and decision making
… We specifically associate our striatal model with the DLS. Lesion and inactivation studies
have shown that the dorsal striatum is functionally very heterogeneous (75). Lesions of the …
have shown that the dorsal striatum is functionally very heterogeneous (75). Lesions of the …