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CVPR
2012
IEEE
7 years 4 months ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
CORR
2011
Springer
174views Education» more  CORR 2011»
8 years 6 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
IJON
2010
109views more  IJON 2010»
8 years 9 months ago
Variational inference for Student-t MLP models
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
Hang T. Nguyen, Ian T. Nabney
CDC
2010
IEEE
133views Control Systems» more  CDC 2010»
8 years 9 months ago
Estimating state-space models in innovations form using the expectation maximisation algorithm
The expectation maximisation (EM) algorithm has proven to be effective for a range of identification problems. Unfortunately, the way in which the EM algorithm has previously been ...
Adrian Wills, Thomas B. Schön, Brett Ninness
ICIP
2009
IEEE
8 years 12 months ago
Random swap EM algorithm for finite mixture models in image segmentation
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
SCJAPAN
2000
136views more  SCJAPAN 2000»
9 years 2 months ago
Acceleration of the EM algorithm
The EM algorithm is widely used to estimate the parameters of many applications. It is simple but the convergence speed is slow. There is another algorithm called the scoring metho...
Shiro Ikeda
COLING
2002
9 years 2 months ago
Base Noun Phrase Translation Using Web Data and the EM Algorithm
We consider here the problem of Base Noun Phrase translation. We propose a new method to perform the task. For a given Base NP, we first search its translation candidates from the...
Yunbo Cao, Hang Li
TWC
2008
105views more  TWC 2008»
9 years 2 months ago
An EM approach to multiple-access interference mitigation in asynchronous slow FHSS systems
In this paper, we apply the EM algorithm for mitigation of multi-access interference (MAI) in asynchronous slow frequency-hop spread spectrum (FHSS) systems that employ binary freq...
Xing Tan, John M. Shea
DATAMINE
2006
166views more  DATAMINE 2006»
9 years 2 months ago
Accelerated EM-based clustering of large data sets
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis
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