ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
DICTA
2007
13 years 6 months ago
2007
We propose a kernel-density based scheme that incorporates the object colors with their spatial relevance to track the object in a video sequence. The object is modeled by the col...
ETVC
2008
13 years 6 months ago
2008
Abstract. This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) de...
MICCAI
2000
Springer
13 years 8 months ago
2000
Springer
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...
ANNPR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the unde...
ISSS
1999
IEEE
13 years 8 months ago
1999
IEEE
Specifications of data computations may not necessarily describe the ranges of the intermediate results that can be generated. However, such information is critical to determine t...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Mutual information (MI) is a common criterion in independent component analysis (ICA) optimization. MI is derived from probability density functions (PDF). There are scen...
ISCAS
2005
IEEE
13 years 10 months ago
2005
IEEE
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
UCS
2007
Springer
13 years 10 months ago
2007
Springer
COMPASS is a location framework where location sources are realized as plugins that contribute probability density functions to the overall localization result. In addition, COMPAS...