no code implementations • 17 Jul 2020 • Yu Liang, Arin Chaudhuri, Haoyu Wang
Dimension reduction and visualization of high-dimensional data have become very important research topics because of the rapid growth of large databases in data science.
no code implementations • 2 Oct 2019 • Kai Shen, Anya Mcguirk, Yuwei Liao, Arin Chaudhuri, Deovrat Kakde
Sensor data analysis plays a key role in health assessment of critical equipment.
1 code implementation • 1 Feb 2019 • Zekun Xu, Deovrat Kakde, Arin Chaudhuri
In recent years, there have been many practical applications of anomaly detection such as in predictive maintenance, detection of credit fraud, network intrusion, and system failure.
no code implementations • 15 Nov 2018 • Arin Chaudhuri, Carol Sadek, Deovrat Kakde, Wenhao Hu, Hansi Jiang, Seunghyun Kong, Yuewei Liao, Sergiy Peredriy, Haoyu Wang
Support vector data description (SVDD) is a popular anomaly detection technique.
no code implementations • 13 Nov 2018 • Deovrat Kakde, Arin Chaudhuri, Diana Shaw
Process capability index (PCI) is a commonly used statistic to measure ability of a process to operate within the given specifications or to produce products which meet the required quality specifications.
1 code implementation • 1 Sep 2017 • Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri
Each iteration involves only the existing support vectors and the new data point.
no code implementations • 16 Aug 2017 • Arin Chaudhuri, Deovrat Kakde, Carol Sadek, Laura Gonzalez, Seunghyun Kong
The computation of the SVDD classifier requires a kernel function, and the Gaussian kernel is a common choice for the kernel function.
2 code implementations • 19 Feb 2017 • Wei Xiao, Xiaolin Huang, Jorge Silva, Saba Emrani, Arin Chaudhuri
Robust PCA methods are typically batch algorithms which requires loading all observations into memory before processing.
no code implementations • 31 Oct 2016 • Sergiy Peredriy, Deovrat Kakde, Arin Chaudhuri
When training datasets are large, the time required to obtain the optimal value of the Gaussian kernel bandwidth parameter according to Peak method can become prohibitively large.
no code implementations • 26 Jul 2016 • Deovrat Kakde, Arin Chaudhuri
However, there is a delay between the time of a customer complaint and the time of a failure or a claim.
no code implementations • 25 Jul 2016 • Deovrat Kakde, Sergriy Peredriy, Arin Chaudhuri, Anya Mcguirk
The non-parametric K-chart provides an attractive alternative to the traditional control charts such as the Hotelling's $T^2$ charts when distribution of the underlying multivariate data is either non-normal or is unknown.
no code implementations • 16 Jun 2016 • Arin Chaudhuri, Deovrat Kakde, Maria Jahja, Wei Xiao, Hansi Jiang, Seunghyun Kong, Sergiy Peredriy
Support Vector Data Description (SVDD) is a popular outlier detection technique which constructs a flexible description of the input data.
no code implementations • 17 Feb 2016 • Deovrat Kakde, Arin Chaudhuri, Seunghyun Kong, Maria Jahja, Hansi Jiang, Jorge Silva
For example, it is observed that with a Gaussian kernel, as the value of kernel bandwidth is lowered, the data boundary changes from spherical to wiggly.