Results 11 to 20 of about 6,486,492 (310)
Separable Dictionary Learning [PDF]
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 12 pages, 2 figures, 1 ...
Simon Hawe +2 more
openaire +3 more sources
Class-Specific Sparse Principal Component Analysis for Visual Classification
IEEE Access, 2020 Extensive research has demonstrated that dictionary learning is active in improving the performance of the representation based classification. However, dictionary learning suffers from lacking an effective dictionary structure that can well tradeoff the
Fei Pan +3 more
doaj +1 more source
Geometry-Aware Discriminative Dictionary Learning for PolSAR Image Classification
Remote Sensing, 2021 In this paper, we propose a new discriminative dictionary learning method based on Riemann geometric perception for polarimetric synthetic aperture radar (PolSAR) image classification.
Yachao Zhang +4 more
doaj +1 more source
Kernel dictionary learning [PDF]
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 In this paper, we present dictionary learning methods for sparse and redundant signal representations in high dimensional feature space. Using the kernel method, we describe how the well-known dictionary learning approaches such as the method of optimal directions and K-SVD can be made nonlinear.
Hien Van Nguyen +3 more
openaire +2 more sources
Classification-oriented Incremental Dictionary Learning Algorithm [PDF]
Jisuanji gongcheng, 2017 Aiming at the problem that the computation cost of the traditional classification-oriented dictionary learning algorithms is too expensive on big datasets,this paper proposes a novel classification-oriented incremental dictionary learning algorithm.In ...
ZHANG Zhiwu,JING Xiaoyuan,WU Fei
doaj +1 more source
Online convolutional dictionary learning [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 Accepted to be presented at ICIP ...
Jialin Liu 0003 +3 more
openaire +4 more sources
Ultrasound tomography with learned dictionaries [PDF]
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010 We propose a new method for imaging sound speed in breast tissue from measurements obtained by ultrasound tomography (UST) scanners. Given the measurements, our algorithm finds a sparse image representation in an overcomplete dictionary that is adapted to the properties of UST images.
Ivana Tosic +4 more
openaire +1 more source
Dictionary Learning with Accumulator Neurons
Proceedings of the International Conference on Neuromorphic Systems 2022, 2022 The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time execution on massively parallel neuromorphic architectures such as Intel's Loihi processor. Here, we focus on the problem of inferring sparse representations from streaming video
Gavin Parpart +8 more
openaire +4 more sources
Block Orthonormal Overcomplete Dictionary Learning [PDF]
, 2013 In the field of sparse representations, the overcomplete dictionary learning problem is of crucial importance and has a growing application pool where it is used.
Dumitrescu, Bogdan, Rusu, Cristian
core +1 more source
On the Minimax Risk of Dictionary Learning [PDF]
IEEE Transactions on Information Theory, 2016 We consider the problem of learning a dictionary matrix from a number of observed signals, which are assumed to be generated via a linear model with a common underlying dictionary. In particular, we derive lower bounds on the minimum achievable worst case mean squared error (MSE), regardless of computational complexity of the dictionary learning (DL ...
Jung, Alexander +3 more
openaire +4 more sources