TY - GEN
T1 - Learning discriminative dictionaries with partially labeled data
AU - Shrivastava, Ashish
AU - Pillai, Jaishanker K.
AU - Patel, Vishal M.
AU - Chellappa, Rama
N1 - Funding Information:
These studies were supported in part by NCI grant P01 CA234228 and funds from the University of Minnesota College of Biological Sciences and Academic Health Center (to R.S.H.) as well as Canadian Institutes of Health Research (CIHR) project grant 153014 (to L.F.). NIH training grants provided salary support for A.Z.C. (F30 CA200432 and T32 GM008244) and M.C.J. (T32 CA009138). J.Y.-M. was supported by the Secretaría Nacio-nal de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT). G.G. is a scholar under the Horizon2020 program (H2020 MSCA-ITN-2015). V.D.O. is supported by research grants from the University of Turin (RILO18) and from the Italian Ministry of Education, University and Research (MIUR) (PRIN 2015 and 2015RMNSTA). R.S.H. is the Margaret Harvey Schering Land Grant Chair for Cancer Research, a Distinguished McKnight University Professor, and an Investigator of the Howard Hughes Medical Institute. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Funding Information:
aDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA bMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA cInstitute for Molecular Virology, University of Minnesota, Minneapolis, Minnesota, USA dCenter for Genome Engineering, University of Minnesota, Minneapolis, Minnesota, USA eDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada fFacultad de Ciencias de la Vida, Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador gLaboratory of Pathogenesis of Viral Infections, Department of Public Health and Pediatric Sciences, University of Turin, Turin, Italy hDepartment of Pediatrics, Division of Pediatric Infectious Diseases and Immunology, University of Minnesota, Minneapolis, Minnesota, USA iDepartment of Microbiology and Immunology, University of Minnesota, Minneapolis, Minnesota, USA jHoward Hughes Medical Institute, University of Minnesota, Minneapolis, Minnesota, USA
PY - 2012
Y1 - 2012
N2 - While recent techniques for discriminative dictionary learning have demonstrated tremendous success in image analysis applications, their performance is often limited by the amount of labeled data available for training. Even though labeling images is difficult, it is relatively easy to collect unlabeled images either by querying the web or from public datasets. In this paper, we propose a discriminative dictionary learning technique which utilizes both labeled and unlabeled data for learning dictionaries. Extensive evaluation on existing datasets demonstrate that the proposed method performs significantly better than state of the art dictionary learning approaches when unlabeled images are available for training.
AB - While recent techniques for discriminative dictionary learning have demonstrated tremendous success in image analysis applications, their performance is often limited by the amount of labeled data available for training. Even though labeling images is difficult, it is relatively easy to collect unlabeled images either by querying the web or from public datasets. In this paper, we propose a discriminative dictionary learning technique which utilizes both labeled and unlabeled data for learning dictionaries. Extensive evaluation on existing datasets demonstrate that the proposed method performs significantly better than state of the art dictionary learning approaches when unlabeled images are available for training.
KW - Semi-supervised dictionary learning
KW - classification
KW - latent variables
UR - http://www.scopus.com/inward/record.url?scp=84875851843&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875851843&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2012.6467559
DO - 10.1109/ICIP.2012.6467559
M3 - Conference contribution
AN - SCOPUS:84875851843
SN - 9781467325332
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3113
EP - 3116
BT - 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
T2 - 2012 19th IEEE International Conference on Image Processing, ICIP 2012
Y2 - 30 September 2012 through 3 October 2012
ER -