SSPR
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Nowadays, multimedia documents composed of text and images are increasingly used, thanks to the Internet and the increasing capacity of data storage. It is more and more ...
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. In order to use structural techniques from graph-based pattern recognition, a first necessary step consists in extracting a graph in an automatic way from an image. We pr...
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
We propose a fast population game dynamics, motivated by the analogy with infection and immunization processes within a population of “players,” for finding dominant sets, a p...
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
Delivering digitally a realistic appearance of materials is one of the most difficult tasks of computer vision. Accurate representation of surface texture can be obtained by means ...
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. In this paper we introduce a new approach aimed at solving the problem of image retrieval from text queries. We propose to estimate the word relevance of an image using a...
SSPR
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. A content-based tile retrieval system based on the underlying multispectral Markov random field representation is introduced. Single tiles are represented by our approve...