75 citations · 111 across the 7 of their papers we have counts for
8 papers
End-to-End Unsupervised Document Image Blind Denoising
Mehrdad J Gangeh, Marcin Plata, Hamid Motahari +1
Removing noise from scanned pages is a vital step before their submission to the optical character recognition (OCR) system. Most available image denoising methods are supervised w…
Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer
Mehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu +3
Recent advances in using quantitative ultrasound (QUS) methods have provided a promising framework to non-invasively and inexpensively monitor or predict the effectiveness of thera…
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion
Mehrdad J. Gangeh, Safaa M. A. Bedawi, Ali Ghodsi +1
In this paper, a novel semi-supervised dictionary learning and sparse representation (SS-DLSR) is proposed. The proposed method benefits from the supervisory information by learnin…
On the Invariance of Dictionary Learning and Sparse Representation to Projecting Data to a Discriminative Space
Mehrdad J. Gangeh, Ali Ghodsi
In this paper, it is proved that dictionary learning and sparse representation is invariant to a linear transformation. It subsumes the special case of transforming/projecting the…
Supervised Dictionary Learning and Sparse Representation-A Review
Mehrdad J. Gangeh, Ahmed K. Farahat, Ali Ghodsi +1
Dictionary learning and sparse representation (DLSR) is a recent and successful mathematical model for data representation that achieves state-of-the-art performance in various fie…
A Two-Stage Combined Classifier in Scale Space Texture Classification
Mehrdad J. Gangeh, Robert P. W. Duin, Bart M. ter Haar Romeny +1
Textures often show multiscale properties and hence multiscale techniques are considered useful for texture analysis. Scale-space theory as a biologically motivated approach may be…
Supervised Texture Classification Using a Novel Compression-Based Similarity Measure
Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
Supervised pixel-based texture classification is usually performed in the feature space. We propose to perform this task in (dis)similarity space by introducing a new compression-b…
Kernelized Supervised Dictionary Learning
Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
In this paper, we propose supervised dictionary learning (SDL) by incorporating information on class labels into the learning of the dictionary. To this end, we propose to learn th…