Abstract: The iterative hard thresholding (IHT) algorithm is widely used for recovering sparse signals in compressed sensing. Despite the development of numerous variants of this effective algorithm, ...
In this paper, we study the problem of expanding a set of given seed entities into a more complete set by discovering other entities that also belong to the same concept set. A typical example is to ...
Back in 2021, Hannah’s love of all things nerdy collided with her passion for writing — and she hasn’t stopped since. She covers pop culture news, writes reviews, and conducts interviews on just about ...
San Francisco, CA, Dec. 11, 2025 (GLOBE NEWSWIRE) -- UX UI Exchange, a leading publication dedicated to product design, human-centered innovation, and the intersection of technology and user ...
Conditional text-to-image generation approaches commonly focus on generating a single image in a single step. One practical extension beyond one-step generation is an interactive system that generates ...
Abstract: Traditional deep learning reconstruction (DLR) methods have been sparsely applied in practical low-dose computed tomography (LDCT) imaging, as they heavily rely on the similarity between the ...
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