Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition tool for multivariate data. Non-negative bases allow strictly additive …
Leading classification methods such as support vector machines (SVMs) and their counterparts achieve strong generalization performance by maximizing the margin of …
Linear filters are ubiquitously used as a preprocessing step for many classification tasks in computer vision. In particular, applying Gabor filters followed by a classification stage, such …
R Wang, C Zhang, L Wang, Y Shao - Journal of Scientific Computing, 2022 - Springer
We propose a novel stochastic Nesterov's smoothing accelerated method for general nonsmooth, constrained, stochastic composite convex optimization, the nonsmooth …
What is called supervised learning is the most fundamental task in machine learning. In supervised learning, we have training examples and test examples. A training example is an …
R Wang, C Zhang - arXiv preprint arXiv:2308.01252, 2023 - arxiv.org
We propose a novel stochastic smoothing accelerated gradient (SSAG) method for general constrained nonsmooth convex composite optimization, and analyze the convergence rates …
W Janjic, O Hummel, M Schumacher… - 2013 10th Working …, 2013 - ieeexplore.ieee.org
This paper describes a large, unabridged data-set of Java source code gathered and shared as part of the Merobase Component Finder project of the Software-Engineering Group at the …
In this paper we propose a framework for gradient descent image alignment in the Fourier domain. Specifically, we propose an extension to the classical Lucas & Kanade (LK) …
MB Salem, SJ Stolfo - Security and Communication Networks, 2012 - Wiley Online Library
ABSTRACT A masquerade attack is a consequence of identity theft. In such attacks, the impostor impersonates a legitimate insider while performing illegitimate activities. These …