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- Youness Aliyari Ghassabeh
- J. Multivariate Analysis
- 2015

The mean shift (MS) algorithm is a non-parametric, iterative technique that has been used to find modes of an estimated probability density function (pdf). Although the MS algorithm has been widely… (More)

- Youness Aliyari Ghassabeh, Frank Rudzicz
- Inf. Sci.
- 2016

We investigate the connection between the asymptotic bias of the well-known Nadaraya-Watson kernel regression and the mean shift (MS) vector with the Gaussian kernel. We first show that the… (More)

- Youness Aliyari Ghassabeh, Frank Rudzicz, Hamid Abrishami Moghaddam
- Pattern Recognition
- 2015

Linear discriminant analysis (LDA) is a traditional statistical technique that reduces dimensionality while preserving as much of the class discriminatory information as possible. The conventional… (More)

- Youness Aliyari Ghassabeh, Tamás Linder, Glen Takahara
- 26th Biennial Symposium on Communications (QBSC)
- 2012

The subspace constrained mean shift (SCMS) algorithm is an iterative method for finding an underlying manifold associated with an intrinsically low dimensional data set embedded in a high dimensional… (More)

- Youness Aliyari Ghassabeh
- Pattern Recognition Letters
- 2013

The mean shift algorithm is a non-parametric and iterative technique that has been used for finding modes of an estimated probability density function. It has been successfully employed in many… (More)

- Emilio Parisotto, Youness Aliyari Ghassabeh, Siamak Freydoonnejad, Frank Rudzicz
- IEEE International Conference on Acoustics…
- 2015

Recent work has demonstrated the feasibility of extracting semantic categories directly from cortical measures (e.g., electroencephalography, EEG) during receptive tasks. Here, we automatically… (More)

The mean shift algorithm is a popular non-parametric technique that has been widely used in statistical pattern recognition and machine learning. The algorithm iteratively tries to find modes of an… (More)

- Youness Aliyari Ghassabeh, Tamás Linder, Glen Takahara
- Pattern Recognition
- 2013

Abstract Subspace constrained mean shift (SCMS) is a non-parametric, iterative algorithm that has recently been proposed to find principal curves and surfaces based on a new definition involving the… (More)

- Youness Aliyari Ghassabeh
- Machine Learning
- 2014

The mean shift (MS) algorithm is a popular non-parametric technique that has been widely used in statistical pattern recognition and machine learning. The algorithm iteratively tries to find modes of… (More)

- Youness Aliyari Ghassabeh, Tamás Linder, Glen Takahara
- 25th IEEE Canadian Conference on Electrical and…
- 2012

Mean shift (MS) and subspace constrained mean shift (SCMS) algorithms are iterative methods to find an underlying manifold associated with an intrinsically low dimensional data set embedded in a high… (More)