234 citations · 548 across the 25 of their papers we have counts for
27 papers
A Study of Shape Modeling Against Noise
Cheng Long, Adrian Barbu
Shape modeling is a challenging task with many potential applications in computer vision and medical imaging. There are many shape modeling methods in the literature, each with its…
Slow Kill for Big Data Learning
Yiyuan She, Jianhui Shen, Adrian Barbu
Big-data applications often involve a vast number of observations and features, creating new challenges for variable selection and parameter estimation. This paper presents a novel…
Training a Two Layer ReLU Network Analytically
Adrian Barbu
Neural networks are usually trained with different variants of gradient descent based optimization algorithms such as stochastic gradient descent or the Adam optimizer. Recent theo…
Feature Selection with Annealing for Forecasting Financial Time Series
Hakan Pabuccu, Adrian Barbu
Stock market and cryptocurrency forecasting is very important to investors as they aspire to achieve even the slightest improvement to their buy or hold strategies so that they may…
Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers
Yijia Zhou, Kyle A. Gallivan, Adrian Barbu
Clustering is a widely used technique with a long and rich history in a variety of areas. However, most existing algorithms do not scale well to large datasets, or are missing theo…
Online Feature Screening for Data Streams with Concept Drift
Mingyuan Wang, Adrian Barbu
Screening feature selection methods are often used as a preprocessing step for reducing the number of variables before training step. Traditional screening methods only focus on de…