SIGCOMM
2006
ACM
13 years 10 months ago
2006
ACM
Researchers have proposed a variety of metrics to measure important graph properties, for instance, in social, biological, and computer networks. Values for a particular graph met...
ICDM
2006
IEEE
2006
IEEE
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
13 years 10 months ago
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
WILF
2007
Springer
13 years 10 months ago
2007
Springer
The standard approach to information entropy applied to partitions of a universe is equivalently formulated as the entropy of the corresponding crisp identity resolutions, interpre...
LADS
2007
Springer
13 years 10 months ago
2007
Springer
This paper proposes a method of integrating two different concepts of belief in artificial intelligence: belief as a probability distribution and belief as a logical formula. The...
CP
2007
Springer
13 years 10 months ago
2007
Springer
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
IROS
2008
IEEE
13 years 11 months ago
2008
IEEE
— This paper presents an approach to approximate information content for active sensing tasks. The Unscented Transform is used to represent probability distributions by a set of ...
ECSQARU
2009
Springer
13 years 11 months ago
2009
Springer
Model-based diagnosis is the field of research concerned with the problem of finding faults ms by reasoning with abstract models of the systems. Typically, such models offer a ...
STOC
2001
ACM
14 years 4 months ago
2001
ACM
We study the problem of finding an outlier-free subset of a set of points (or a probability distribution) in n-dimensional Euclidean space. As in [BFKV 99], a point x is defined t...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...
ICPR
2006
IEEE
2006
IEEE
Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation
14 years 5 months ago
This article proposes a new statistical model for fast 3D articulated body tracking, similar to the loose-limbed model, but where inter-frame coherence is taken into account by us...