Results 251 to 260 of about 528,580 (282)
Some of the next articles are maybe not open access.
Sparse representation shape model
2010 IEEE International Conference on Image Processing, 2010This paper introduces a novel shape model, Sparse Representation Shape Model (SRSM). Rather than for modeling specific deformable shapes, this model is specially designed for shape segmentation and matching. This model is utilized under the framework of Active Shape Models (ASM).
Yuelong Li, Jufu Feng
openaire +1 more source
Face Aging by Sparse Representation
2010Face aging aims at synthesizing one's face at different ages which interests many researchers in fields of cartoon animation, age estimation, face recognition, etc. However, modelling aging process is still challenging due to lack of robust features and a reasonable training set.
Heng Huang +4 more
openaire +1 more source
Sparse Representations for Image Decompositions
International Journal of Computer Vision, 1999We are given an image I and a library of templates {\cal L} , such that {\cal L} is an overcomplete basis for I. The templates can represent objects, faces, features, analytical functions, or be single pixel templates (canonical templates). There are infinitely many ways to decompose I as a linear combination of the library templates.
Davi Geiger +2 more
openaire +1 more source
On Linguistic Variables and Sparse Representations
2015Linguistic variables can be seen as dictionaries to represent data. In fields as Signal Processing or Machine Learning is usual to use or to search redundant dictionaries to promote sparse representations. This kind of representations present several interesting properties as a high generalization capacity, simplification and economy, among others.
openaire +1 more source
Sparse Representation for Machine Learning
2013Sparse representation is a parsimonious principle that a signal can be approximated by a sparse superposition of basis functions. The main topic of my thesis research is to apply this principle in the machine learning fields including classification, feature extraction, feature selection, and optimization.
openaire +1 more source
Image Super-Resolution Via Sparse Representation
IEEE Transactions on Image Processing, 2010John Wright
exaly
Nonlocally Centralized Sparse Representation for Image Restoration
IEEE Transactions on Image Processing, 2013Weisheng Dong +2 more
exaly