Abstract: In view of the practical value of open datasets of hyperspectral images (HSIs), HSI open-set classification (OSC) has attracted more and more attention. Existing HSI OSC methods are usually ...

Baseline for APSIPA ASC 2025 GC. The APSIPA ASC 2025 GC (City and Time-Aware Semi-supervised Acoustic Scene Classification) extends the work of the ICME 2024 GC (Semi-supervised Acoustic Scene ...

In the dense affinity_matrix case, the current code sums axis=0 and then divides the rows by these sums. Other normalizations in semi_supervised use axis=1 (as this case should). This does not cause ...

Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States ...

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...

ABSTRACT: The rapid advancements in large language models (LLMs) have led to an exponential increase in survey papers, making it challenging to systematically track and analyze their evolving taxonomy ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China Department of Micro/Nano Electronics, School of Electronic Information ...