Results 231 to 240 of about 307,473 (285)

VALIANT: A Vision‐Authenticity Language Framework Through Integrated Experts and Aligned Numerical‐Textual Descriptors for Citri Reticulatae Pericarpium

Advanced Intelligent Systems, EarlyView.
Visual features, numerical descriptors, and controlled textual attributes extracted from smartphone images of Chenpi are integrated by VALIANT, a tailored multimodal framework for simultaneous storage‐age classification and authenticity verification. The workflow distinguishes genuine products from suspicious standard operating procedure mimics while ...
Simon C. K. Chan, Bingxin Huang, Hannah H. Kim, Wentao Yu, Yinqian Luo, Terence T. W. Wong   +5 more
wiley   +1 more source

River extraction from high-resolution remote sensing images based on non-uniform sampling and semi-supervised learning. [PDF]

Sci Rep
Wang K, Han L, Li L.
europepmc   +1 more source

3D Road Defect Mapping via Differentiable Neural Rendering and Multi-Frame Semantic Fusion in Bird's-Eye-View Space. [PDF]

J Imaging
Xing H, Yang F.
europepmc   +1 more source

AIM-SEEM: Adapting SEEM for Open-Vocabulary Terrain Segmentation Across Arbitrary Imaging Modalities. [PDF]

Sensors (Basel)
Wang Y, Xiang X, Wu Y, Zhang Y, Li X.
europepmc   +1 more source

Three-dimensional scene boundary representations for wall orientation and distance are represented distinctly in the human visual cortex. [PDF]

PLoS Biol
Wu Y, Li S.
europepmc   +1 more source

Bridging Continuous and Discrete Models of the Anterior Temporal Lobe via Cortical Gradients

Alam TG, de Schotten MT, Binney R, Wang X, Margulies D, Jefferies B.   +5 more
europepmc   +1 more source

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Multirelational semantic maps

Educational Psychology Review, 1989
Research on multirelational semantic maps is laden with promise for educational applications, but the development of knowledge mapping systems has been largely unsystematic. This paper describes the distinctive features of knowledge maps, discusses their origins, and explores some of the strengths and weaknesses of the wide variety of maps and mapping ...
Judith G. Lambiotte, Donald F. Dansereau, David R. Cross, Sharon B. Reynolds   +3 more
openaire   +3 more sources

Self-organizing semantic maps

Biological Cybernetics, 1989
Self-organized formation of topographic maps for abstract data, such as words, is demonstrated in this work. The semantic relationships in the data are reflected by their relative distances in the map. Two different simulations, both based on a neural network model that implements the algorithm of the selforganizing feature maps, are given.
Ritter, Helge, Kohonen, Teuvo
openaire   +2 more sources