| Full text | |
| Author(s): |
Montagner, Igor S.
;
Hirata, Nina S. T.
;
Hirata, Roberto, Jr.
;
Canu, Stephane
;
IEEE
Total Authors: 5
|
| Document type: | Journal article |
| Source: | 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI); v. N/A, p. 8-pg., 2016-01-01. |
| Abstract | |
Designing image operators is a hard task usually tackled by specialists in image processing. An alternative approach is to use machine learning to estimate local transformations, that characterize the image operators, from pairs of input-output images. The main challenge of this approach, called W-operator learning, is estimating operators over large windows without overfitting. Current techniques require the determination of a large number of parameters to maximize the performance of the trained operators. Support Vector Machines are known for their generalization performance and their ability to estimate nonlinear decision surfaces using kernels. However, training kernelized SVMs in the dual is not feasible when the training set is large. We estimate the local transformations employing kernel approximations to train SVMs, thus with no need to compute the full Gram matrix. We also select appropriate kernels to process binary and gray level inputs. Experiments show that operators trained using kernel approximation achieve comparable results with state-of-the-art methods in 4 public datasets. (AU) | |
| FAPESP's process: | 11/50761-2 - Models and methods of e-Science for life and agricultural sciences |
| Grantee: | Roberto Marcondes Cesar Junior |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 15/01587-0 - Storage, modeling and analysis of dynamical systems for e-Science applications |
| Grantee: | João Eduardo Ferreira |
| Support Opportunities: | Research Grants - eScience and Data Science Program - Thematic Grants |
| FAPESP's process: | 11/23310-0 - Automatic design of image operators: extension and contextualization to not necessarily boolean lattices |
| Grantee: | Igor dos Santos Montagner |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| FAPESP's process: | 14/21692-0 - Exploring high-level representations in image operator learning |
| Grantee: | Igor dos Santos Montagner |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate (Direct) |
| FAPESP's process: | 15/17741-9 - Combination of local and global features in image operator learning |
| Grantee: | Nina Sumiko Tomita Hirata |
| Support Opportunities: | Regular Research Grants |