ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Generative models of pattern individuality attempt to learn the distribution of observed quantitative features to determine the probability of two random patterns being the same. ...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we propose a novel image contrast enhancement method using collaborative learning. Block-based histogram equalization methods such as contrast limited adaptive histo...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we propose a novel semi-supervised algorithm, which works under a two-view setting. Our algorithm, named Kernel Canonical Component Analysis Graph (KC-GRAPH), can e...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we present an approach to matching heart sounds based on modeling the morphological variations of audio envelopes through a constrained nonrigid translation transfo...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
A mainstay in cancer diagnostics is the classification or grading of cell nuclei based on their appearance. While the analysis of cytological samples has been automated successful...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
The mean-shift (MS) algorithm is widely used in object tracking because of its speed and simplicity. However, it assumes certain overlap of object appearance and smooth change in ...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
The paper presents a model of visual attention combined with eye tracking to drive content-based retrieval of image data in order to facilitate understanding and development of ne...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Under the constraint of using only a single gallery image per person, this paper proposes a fast multi-class pattern classification approach to 2D face recognition robust to chan...