In the field of unsupervised domain adaptation, most existing methods rely on global features that may not be able to capture fine-grained features, resulting in suboptimal transfer learning ...

The widespread use of medical imaging by doctors has made computers a necessity for imaging and analysis. Several clinical decision-making tools have been developed to assess osteoporosis risk through ...

DCPRN: Distillation-Constrained Prototype Representation Network for Hyperspectral Image Incremental Classification. Abstract Oriented to adaptive recognition of the new land-cover categories, ...

Researchers have demonstrated a prototype lidar system that uses quantum detection technology to acquire 3D images while submerged underwater. The high sensitivity of this system could allow it to ...

for one-shot learning, the existing metric learning approaches would suffer poor performance because the single training image may not be representative of the class. For example, if the image is far ...

In this paper, the Conceptual Space Theory, the Granular Computing approach and Machine Learning are bound in a novel common framework for solving some text categorization tasks with both standard ...

For the first time, researchers have demonstrated a prototype lidar system that uses quantum detection technology to acquire 3D images while submerged underwater. The high sensitivity of this ...