40 citations · 42 across the 3 of their papers we have counts for
3 papers
stat.ML2021★ 2 cited
Sharp Analysis of Random Fourier Features in Classification
Zhu Li
We study the theoretical properties of random Fourier features classification with Lipschitz continuous loss functions such as support vector machine and logistic regression. Utili…
eess.IV2021★ 40 cited
No-Reference Image Quality Assessment by Hallucinating Pristine Features
Baoliang Chen, Lingyu Zhu, Chenqi Kong +3
In this paper, we propose a no-reference (NR) image quality assessment (IQA) method via feature level pseudo-reference (PR) hallucination. The proposed quality assessment framework…
eess.IV2021
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification
Md Adnan Arefeen, Sumaiya Tabassum Nimi, Md Yusuf Sarwar Uddin +1
In this paper, we propose a transfer-learning based model construction technique for the aerial scene classification problem. The core of our technique is a layer selection strateg…