ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
A method for Gaussian process learning of a scalar function from a set of pair-wise order relationships is presented. Expectation propagation is used to obtain an approximation to...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Maximizing passengers comfort is an important research topic in the domain of automotive systems engineering. In particular, an automatic adjustment of seat position according to d...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Diabetic retinopathy (DR) is a common complication of diabetes that damages the retina and leads to sight loss if treated late. In its earliest stage, DR can be diagnosed by microa...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper introduces a geometrically inspired large-margin classifier that can be a better alternative to the Support Vector Machines (SVMs) for the classification problems with ...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
In this paper we provide a framework of detection and localization of multiple similar shapes or object instances from an image based on shape matching. There are three challenges...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
—This paper proposes an improved direct fingerprint pore matching method. It measures the differences between pores by using the sparse representation technique. The coarse pore ...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
—In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for face feature extraction and face recognition, which is based on graph embedded learning and un...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...