Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Old Dominion University (6)
- Washington University in St. Louis (3)
- New Jersey Institute of Technology (2)
- Portland State University (2)
- University of Denver (2)
-
- Air Force Institute of Technology (1)
- Embry-Riddle Aeronautical University (1)
- Florida Institute of Technology (1)
- Georgia Southern University (1)
- Minnesota State University, Mankato (1)
- Nova Southeastern University (1)
- The Texas Medical Center Library (1)
- Union College (1)
- University of Arkansas, Fayetteville (1)
- University of Louisville (1)
- University of Massachusetts Amherst (1)
- University of New Hampshire (1)
- University of New Mexico (1)
- University of Tennessee, Knoxville (1)
- University of Texas at El Paso (1)
- University of Wisconsin Milwaukee (1)
- Western University (1)
- Publication Year
- Publication
-
- Electrical & Computer Engineering Theses & Dissertations (6)
- Electronic Theses and Dissertations (4)
- McKelvey School of Engineering Theses & Dissertations (3)
- Theses and Dissertations (3)
- Dissertations (2)
-
- Dissertations and Theses (2)
- All Undergraduate Theses and Capstone Projects (1)
- CCE Theses and Dissertations (1)
- Dissertations & Theses (Open Access) (1)
- Doctoral Dissertations (1)
- Doctoral Dissertations and Master's Theses (1)
- Electrical and Computer Engineering ETDs (1)
- Electronic Thesis and Dissertation Repository (1)
- Graduate Theses and Dissertations (1)
- Honors Theses (1)
- Honors Theses and Capstones (1)
- Masters Theses (1)
- Open Access Theses & Dissertations (1)
Articles 31 - 32 of 32
Full-Text Articles in Physical Sciences and Mathematics
Learning Local Features Using Boosted Trees For Face Recognition, Rajkiran Gottumukkal
Learning Local Features Using Boosted Trees For Face Recognition, Rajkiran Gottumukkal
Electrical & Computer Engineering Theses & Dissertations
Face recognition is fundamental to a number of significant applications that include but not limited to video surveillance and content based image retrieval. Some of the challenges which make this task difficult are variations in faces due to changes in pose, illumination and deformation. This dissertation proposes a face recognition system to overcome these difficulties. We propose methods for different stages of face recognition which will make the system more robust to these variations. We propose a novel method to perform skin segmentation which is fast and able to perform well under different illumination conditions. We also propose a method …
Algorithms For Training Large-Scale Linear Programming Support Vector Regression And Classification, Pablo Rivas Perea
Algorithms For Training Large-Scale Linear Programming Support Vector Regression And Classification, Pablo Rivas Perea
Open Access Theses & Dissertations
The main contribution of this dissertation is the development of a method to train a Support Vector Regression (SVR) model for the large-scale case where the number of training samples supersedes the computational resources. The proposed scheme consists of posing the SVR problem entirely as a Linear Programming (LP) problem and on the development of a sequential optimization method based on variables decomposition, constraints decomposition, and the use of primal-dual interior point methods. Experimental results demonstrate that the proposed approach has comparable performance with other SV-based classifiers. Particularly, experiments demonstrate that as the problem size increases, the sparser the solution …