We present a novel training method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use similarly deg...
The conventional histogram intersection (HI) algorithm computes the intersected section of the corresponding color histograms in order to measure the matching rate between two col...
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
In this study a confidence measure for probability density functions (pdfs) is presented. The measure can be used in one-class classification to select a pdf threshold for class i...
Jarmo Ilonen, Pekka Paalanen, Joni-Kristian Kamara...
We present an efficient, fully automated algorithm to assemble ESTs into full-length cDNA sequences that represent the complete coding regions of a gene. Our EST clustering algori...
Arthur Grossman, Charles Hauser, Hilary J. Holz, J...
In many clustering applications, the user has some vague notion of the number and membership of the desired clusters. However, it is difficult for the user to provide such knowled...
Anil K. Jain, Pavan Kumar Mallapragada, Martin H. ...
This paper presents a novel approach to estimate the changing internal and external parameters of the camera in real time using a few 3D-2D point correspondences. We approach the ...
This paper presents a novel deformable model for accurate delineation of regions of interest in medical images that contain regional inhomogeneities. Such images are common in var...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Mic...
This paper proposes new techniques to generate high quality textures for urban building models by automatic camera calibration and pose recovery. The camera pose is decomposed int...
This paper presents adaptive weighting method for combining local classifiers by particle filter. In recent years, the effectiveness of combination of local classifiers (features)...