Digital Signal Processing
Example-based single document image super-resolution: a global MAP approach with outlier rejection
Multidimensional Systems and Signal Processing
Texture classification using sparse frame-based representations
EURASIP Journal on Applied Signal Processing
Manifold models for signals and images
Computer Vision and Image Understanding
Journal of Mathematical Imaging and Vision
Dictionary learning for sparse approximations with the majorization method
IEEE Transactions on Signal Processing
Double sparsity: learning sparse dictionaries for sparse signal approximation
IEEE Transactions on Signal Processing
Recursive least squares dictionary learning algorithm
IEEE Transactions on Signal Processing
Dictionary learning for sparse representations: a Pareto curve root finding approach
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Learning the Morphological Diversity
SIAM Journal on Imaging Sciences
Learning adaptive and sparse representations of medical images
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Image decomposition via learning the morphological diversity
Pattern Recognition Letters
Sulci detection in photos of the human cortex based on learned discriminative dictionaries
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Optimization with Sparsity-Inducing Penalties
Foundations and Trends® in Machine Learning
Dictionary learning with large step gradient descent for sparse representations
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Sparse hidden markov models for surgical gesture classification and skill evaluation
IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions
Image collection summarization via dictionary learning for sparse representation
Pattern Recognition
Dictionary learning based sparse coefficients for audio classification with max and average pooling
Digital Signal Processing
Dictionary learning for image prediction
Journal of Visual Communication and Image Representation
Learning attribute-aware dictionary for image classification and search
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Design of non-linear discriminative dictionaries for image classification
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Object-of-interest extraction based on sparse coding
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Exact recovery of sparsely-used dictionaries
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Online dictionary learning algorithm with periodic updates and its application to image denoising
Expert Systems with Applications: An International Journal
Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis
Journal of Mathematical Imaging and Vision
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A frame design technique for use with vector selection algorithms, for example matching pursuits (MP), is presented. The design algorithm is iterative and requires a training set of signal vectors. The algorithm, called method of optimal directions (MOD), is an improvement of the algorithm presented by Engan, Aase and Husoy see (Proc. ICASSP '98, Seattle, USA, p.1817-20, 1998). The MOD is applied to speech and electrocardiogram (ECG) signals, and the designed frames are tested on signals outside the training sets. Experiments demonstrate that the approximation capabilities, in terms of mean squared error (MSE), of the optimized frames are significantly better than those obtained using frames designed by the algorithm of Engan et. al. Experiments show typical reduction in MSE by 20-50%.