Learning a discriminative dictionary for sparse coding via label consistent K-SVD
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse
coding is presented. In addition to using class labels of training data, we also associate label …
coding is presented. In addition to using class labels of training data, we also associate label …
Sparse representation for face recognition based on discriminative low-rank dictionary learning
L Ma, C Wang, B Xiao, W Zhou - 2012 IEEE conference on …, 2012 - ieeexplore.ieee.org
In this paper, we propose a discriminative low-rank dictionary learning algorithm for sparse
representation. Sparse representation seeks the sparsest coefficients to represent the test …
representation. Sparse representation seeks the sparsest coefficients to represent the test …
Local features are not lonely–Laplacian sparse coding for image classification
Sparse coding which encodes the original signal in a sparse signal space, has shown its
state-of-the-art performance in the visual codebook generation and feature quantization …
state-of-the-art performance in the visual codebook generation and feature quantization …
Kernel sparse representation for image classification and face recognition
Recent research has shown the effectiveness of using sparse coding (Sc) to solve many
computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear …
computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear …
Group sparse coding
Bag-of-words document representations are often used in text, image and video processing.
While it is relatively easy to determine a suitable word dictionary for text documents, there is …
While it is relatively easy to determine a suitable word dictionary for text documents, there is …
Multiple kernel sparse representations for supervised and unsupervised learning
JJ Thiagarajan, KN Ramamurthy… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In complex visual recognition tasks, it is typical to adopt multiple descriptors, which describe
different aspects of the images, for obtaining an improved recognition performance …
different aspects of the images, for obtaining an improved recognition performance …
Robust sparse coding for face recognition
Recently the sparse representation (or coding) based classification (SRC) has been
successfully used in face recognition. In SRC, the testing image is represented as a sparse …
successfully used in face recognition. In SRC, the testing image is represented as a sparse …
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse
representation is presented. We propose an objective function consisting of two …
representation is presented. We propose an objective function consisting of two …
Classification and clustering via dictionary learning with structured incoherence and shared features
I Ramirez, P Sprechmann… - 2010 IEEE Computer …, 2010 - ieeexplore.ieee.org
A clustering framework within the sparse modeling and dictionary learning setting is
introduced in this work. Instead of searching for the set of centroid that best fit the data, as in …
introduced in this work. Instead of searching for the set of centroid that best fit the data, as in …
Label consistent K-SVD: Learning a discriminative dictionary for recognition
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse
coding is presented. In addition to using class labels of training data, we also associate label …
coding is presented. In addition to using class labels of training data, we also associate label …