ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...

After spending some solid time riding the Ausom L2 Max Dual Motor, what stuck with me most wasn't just the speed or power—it was how easy it felt to get used to. From the first ride, it gave off a ...

You’re at the checkout screen after an online shopping spree, ready to enter your credit card number. You type it in and instantly see a red error message ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

1 College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China 2 Provincial Key Laboratory for Information Technology of Wisdom Mining of Shandong ...

L2 normalization is typically applied to vision and text features before computing similarity scores, especially in retrieval-style tasks where cosine similarity is appropriate. However, in purely ...

There seems to be a bug in the L2 normalization coco_similiarity.py file (utils/metrics/coco_similarity.py, lines 217-221) ...

Abstract: Transformer-based large language models are a memory-bound model whose operation is based on a large amount of data that are marginally reused. Thus, the data movement between a host and ...

Media Player Classic - Home Cinema (MPC-HC) is a free and open-source video and audio player for Windows. MPC-HC is based on the original Guliverkli project (which is no longer maintained) and ...