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IROS
2007
IEEE
148views Robotics» more  IROS 2007»
14 years 2 months ago
Tractable probabilistic models for intention recognition based on expert knowledge
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...
ACSAC
2003
IEEE
14 years 1 months ago
Automatic Reassembly of Document Fragments via Context Based Statistical Models
Reassembly of fragmented objects from a collection of randomly mixed fragments is a common problem in classical forensics. In this paper we address the digital forensic equivalent...
Kulesh Shanmugasundaram, Nasir D. Memon
TSP
2008
103views more  TSP 2008»
13 years 7 months ago
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches
Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin C...
ATAL
2007
Springer
14 years 2 months ago
Emergence of global network property based on multi-agent voting model
Recent studies have shown that various models can explain the emergence of complex networks, such as scale-free and small-world networks. This paper presents a different model to...
Kousuke Shinoda, Yutaka Matsuo, Hideyuki Nakashima
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 23 days ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...