5 accepted papers
Loop closure detection in dynamic SLAM faces critical challenges when dynamic objects dominate camera views, degrading frame-to-frame methods reliant on static landmarks. We propose A-SPAM, an asynchronous framework that constructs spatiotemporal semantic graphs via semantic padding (entity tracking…
Loop closure detection in dynamic SLAM faces critical challenges when dynamic objects dominate camera views, degrading frame-to-frame methods reliant on static landmarks. We propose A-SPAM, an asynchronous framework that constructs spatiotemporal semantic graphs via semantic padding (entity tracking
The Schatten-p norm, as a class of structure-inducing norms based on singular values, has been widely used to enhance model low-rankness and representation capability due to its flexibility in structural modeling and favorable mathematical properties. However, its potential in cluster distribution m
Tensor-based multi-view subspace clustering (MVSC) has achieved significant success by capturing high-order inter-view correlations. However, existing approaches face two principal limitations. First, most methods either exclusively emphasize the inter-view low‑rankness (R) prior while neglecting th
Large Language Models (LLMs) show strong performance in natural language processing tasks, but their application in the financial domain is limited. Current methods rely on large datasets and manual prompt engineering, resulting in high data demands, long inference times, and frequent hallucinations…