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Found 8 papers, 0 papers with code
Document Enhancement System Using Auto-encoders
The conversion of scanned documents to digital forms is performed using an Optical Character Recognition (OCR) software.
Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer
One of the earliest steps in using QUS methods is contouring a region of interest (ROI) inside the tumour in ultrasound B-mode images.
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion
The proposed method benefits from the supervisory information by learning the dictionary in a space where the dependency between the data and class labels is maximized.
Tumour ROI Estimation in Ultrasound Images via Radon Barcodes in Patients with Locally Advanced Breast Cancer
Quantitative ultrasound (QUS) methods provide a promising framework that can non-invasively and inexpensively be used to predict or assess the tumour response to cancer treatment.
On the Invariance of Dictionary Learning and Sparse Representation to Projecting Data to a Discriminative Space
In this paper, it is proved that dictionary learning and sparse representation is invariant to a linear transformation.
Supervised Dictionary Learning and Sparse Representation-A Review
This review provides a broad, yet deep, view of the state-of-the-art methods for S-DLSR and allows for the advancement of research and development in this emerging area of research.
Supervised Texture Classification Using a Novel Compression-Based Similarity Measure
To this end, by design, it solely uses P-frame coding to find the (dis)similarity among patches/images.
Kernelized Supervised Dictionary Learning
In this paper, we propose supervised dictionary learning (SDL) by incorporating information on class labels into the learning of the dictionary.
