Application of Multitask Joint Sparse Representation Algorithm in Chinese Painting Image Classification
نویسندگان
چکیده
منابع مشابه
Image Classification via Sparse Representation and Subspace Alignment
Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...
متن کاملSelf-explanatory Sparse Representation for Image Classification
Traditional sparse representation algorithms usually operate in a single Euclidean space. This paper leverages a self-explanatory reformulation of sparse representation, i.e., linking the learned dictionary atoms with the original feature spaces explicitly, to extend simultaneous dictionary learning and sparse coding into reproducing kernel Hilbert spaces (RKHS). The resulting single-view self-...
متن کاملHyperspectral Image Classification Based on the Fusion of the Features Generated by Sparse Representation Methods, Linear and Non-linear Transformations
The ability of recording the high resolution spectral signature of earth surface would be the most important feature of hyperspectral sensors. On the other hand, classification of hyperspectral imagery is known as one of the methods to extracting information from these remote sensing data sources. Despite the high potential of hyperspectral images in the information content point of view, there...
متن کاملImage Classification Algorithm Based on Sparse Coding
In this paper, the sparse coding and local features of images are combined to propose a new image classification algorithm. Firstly, online dictionary learning algorithm is employed to train the visual vocabulary based on SIFT features. Secondly, SIFT features are extracted from images and these features are encoded into sparse vector through visual vocabulary. Thirdly, the images are evenly di...
متن کاملApplication of Adaptive Sparse Representation in Multi - spectral Remote Image Classification ⋆
To improve the accurate rate of classification multi-spectral remote sensing images, in this paper we construct a classification algorithm based on adaptive sparse representation (ASP). The geometrical explanation of ASP algorithm is to approximate the hyper-spherical cap with least hyper-planes, clustered the error vectors of each step, and signed the cluster center as new atoms which made the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Complexity
سال: 2021
ISSN: 1099-0526,1076-2787
DOI: 10.1155/2021/5546338