Structured Analysis Dictionary Learning for Image Classification
We propose a computationally efficient and high-performance classification algorithm by incorporating class structural information in analysis dictionary learning. To achieve more consistent classification, we associate a class characteristic structure of independent subspaces and impose it on the classification error constrained analysis dictionary learning. Experiments demonstrate that our method achieves a comparable or better performance than the state-of-the-art algorithms in a variety of visual classification tasks. In addition, our method greatly reduces the training and testing computational complexity.
Code (1)
Tasks
ClassificationDictionary LearningGeneral Classificationimage-classificationImage ClassificationSimilar Papers 제목 키워드 기반
Analysis Dictionary Learning based Classification: Structure for Robustness
A discriminative structured analysis dictionary is proposed for the classification task. A structure of the union of subspaces (UoS) is integrated into the conventional analysis dictionary learning to enhance the capabil…
ClassificationDictionary LearningGeneral ClassificationTask-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints
Sparse representation models a signal as a linear combination of a small number of dictionary atoms. As a generative model, it requires the dictionary to be highly redundant in order to ensure both a stable high sparsity…
Dictionary LearningGeneral ClassificationHyperspectral Image Classificationimage-classification+1Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier
In this paper, we propose an analysis mechanism based structured Analysis Discriminative Dictionary Learning (ADDL) framework. ADDL seamlessly integrates the analysis discriminative dictionary learning, analysis represen…
Dictionary LearningGeneral ClassificationLearning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification
Sparse representations using overcomplete dictionaries have proved to be a powerful tool in many signal processing applications such as denoising, super-resolution, inpainting, compression or classification. The sparsity…
ClassificationDenoisingGeneral Classificationimage-classification+2Learning efficient structured dictionary for image classification
Recent years have witnessed the success of dictionary learning (DL) based approaches in the domain of pattern classification. In this paper, we present an efficient structured dictionary learning (ESDL) method which take…
ClassificationDictionary LearningDiversityGeneral Classification+2