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05/17/2023
Separability and Scatteredness (S S) Ratio-Based Efficient SVM Regularization Parameter, Kernel, and Kernel Parameter Selection
Support Vector Machine (SVM) is a robust machine learning algorithm with...
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03/28/2023
Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models
The goal of a learning algorithm is to receive a training data set as in...
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10/04/2022
Relative Entropy (RE) Based LTI System Modeling Equipped with time delay Estimation and Online Modeling
This paper proposes an impulse response modeling in presence of input an...
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05/17/2020
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks
Hyperspectral images provide abundant spatial and spectral information t...
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11/27/2019
K-MACE and Kernel K-MACE Clustering
Determining the correct number of clusters (CNC) is an important task in...
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02/08/2014
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling
Ultra low radiation dose in X-ray Computed Tomography (CT) is an importa...
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01/09/2014
Efficient unimodality test in clustering by signature testing
This paper provides a new unimodality test with application in hierarchi...
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06/24/2010