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Deterministic Bayesian information fusion and the analysis of its performance

by Gaurav Thakur , 2014
"... This paper develops a mathematical and computational framework for analyzing the expected perfor-mance of Bayesian data fusion, or joint statistical inference, within a sensor network. We use variational techniques to obtain the posterior expectation as the optimal fusion rule under a deterministic ..."
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This paper develops a mathematical and computational framework for analyzing the expected perfor-mance of Bayesian data fusion, or joint statistical inference, within a sensor network. We use variational techniques to obtain the posterior expectation as the optimal fusion rule under a deterministic

SYMMETRICAL EEG/FMRI FUSION WITH SPATIALLY ADAPTIVE PRIORS USING VARIATIONAL DISTRIBUTION APPROXIMATION

by Martin Luessi, S. Derin Babacan, Rafael Molina, James R. Booth, Aggelos K. Katsaggelos
"... In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as well as spatially adaptive temporal priors enables adaptation to the local characteristics of the estimated responses. We ut ..."
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utilize an approximate variational Bayesian framework and obtain a fully automatic fusion algorithm. Simulation results demonstrate that the proposed algorithm outperforms existing EEG/fMRI fusion methods. Index Terms — EEG, fMRI, total variation (TV), variational Bayesian methods.

Title of Document: QUANTUM MECHANICS AND QUANTUM INFORMATION THEORY

by unknown authors
"... The principle aim of this dissertation is to investigate the philosophical application of quantum information theory to interpretational issues regarding the theory of quantum mechanics. Recently, quantum information theory has emerged as a potential source for such an interpretation. The main quest ..."
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The principle aim of this dissertation is to investigate the philosophical application of quantum information theory to interpretational issues regarding the theory of quantum mechanics. Recently, quantum information theory has emerged as a potential source for such an interpretation. The main

From Bayesian epistemology to inductive logic

by Jon Williamson - Journal of Applied Logic , 2013
"... Abstract Inductive logic admits a variety of semantics (Haenni et al., 2011, Part 1). This paper develops semantics based on the norms of Bayesian epistemology (Williamson, 2010, Chapter 7). §1 introduces the semantics and then, in §2, the paper explores methods for drawing inferences in the resul ..."
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in Bayesian inductive logic, and to compare this logic with a closely related logic. 2 This version of the Calibration Norm presumes that all constraints on degrees of belief are mediated by evidence of physical probabilities. While this is an appropriate assumption in the context of our semantics

Active Mask Framework for Segmentation of Fluorescence Microscope Images

by Gowri Srinivasa, Advisor Prof, Prof Matthew, C. Fickus, Prof Adam, D. Linstedt, Prof Robert, F. Murphy
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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of knowledge and a book in Her lotus hands. Dedicated to the Lotus Feet of the revered Sadguru. This thesis presents a new active mask (AM) framework and an algorithm for segmenta-tion of digital images, particularly those of punctate patterns from fluorescence microscopy. Fluorescence microscopy has greatly

ADAPTIVE BAYESIAN COMBINATION OF FEATURES FROM LASER SCANNER AND CAMERA FOR PEDESTRIAN DETECTION

by Laurence Ngako Pangop, Frédéric Chausse, Sebastien Cornou, Université Blaise Pascal
"... Abstract: This paper describes how multisensor data fusion increases reliability of pedestrian detection while using a Bayesian combination of features. The clue is to combine in a probabilistic framework, the detecting capabilities of sensors for identifying pedestrians located along the vehicle tr ..."
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Abstract: This paper describes how multisensor data fusion increases reliability of pedestrian detection while using a Bayesian combination of features. The clue is to combine in a probabilistic framework, the detecting capabilities of sensors for identifying pedestrians located along the vehicle

Cultural Biases in Economic Exchange",

by Luigi Guiso , Paola Sapienza , Luigi Zingales , Franklin Allen , Marianne Baxter , Patricia Ledesma , Mitchell Petersen , Andrei Shleifer , Rene Stulz , Samuel Thompson , 2004
"... Abstract How much do cultural biases affect economic exchange? We try to answer this question by using the relative trust European citizens have for citizens of other countries. First, we document that this trust is affected not only by objective characteristics of the country being trusted, but al ..."
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. Section III relates relative trust to information and cultural variables. Section IV studies the effect of relative trust on trade, Section V on portfolio investments, and Section VI on foreign direct investments. Finally, Section VII concludes. I Theoretical Framework How does trust enter economic

doi:10.1112/jlms/jdm031 CELLULARIZATION OF CLASSIFYING SPACES AND FUSION PROPERTIES OF FINITE GROUPS

by Ramón J. Flores
"... One way to understand the mod p homotopy theory of classifying spaces of finite groups is to compute their BZ/p-cellularization. In the easiest cases this is a classifying space of a finite group (always a finite p-group). If not, we show that it has infinitely many non-trivial homotopy groups. More ..."
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. Moreover they are either p-torsion free or else infinitely many of them contain p-torsion. By means of techniques related to fusion systems we exhibit concrete examples where p-torsion appears and compute explicitly the cellularization.

1Performance Bounds for Grouped Incoherent Measurements in Compressive Sensing

by Adam C. Polak, Marco F. Duarte, Dennis L. Goeckel
"... Compressive sensing (CS) allows for acquisition of sparse signals at sampling rates significantly lower than the Nyquist rate required for bandlimited signals. Recovery guarantees for CS are generally derived based on the assumption that measurement projections are selected independently at random. ..."
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recovery of signals when groups of dependent projections are taken at random. We find a penalty factor on the number of required measurements with respect to the standard CS scheme that employs conventional independent measurement selection and evaluate the accuracy of the predicted penalty through

Information gatekeepers: Theory and experimental evidence. Economic Theory

by Isabelle Brocas , Juan D Carrillo , Thomas R Palfrey , Isabelle Brocas , Juan D Carrillo , <juandc@usc Edu>; , Thomas R Palfrey , 2012
"... Abstract We consider a model where two agents with opposite interests can spend resources in acquiring public evidence about the unknown state of the world in order to influence the choice of a decision-maker. We characterize the sampling strategies of agents in the Nash equilibrium of the game. As ..."
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with the event realized. Formally: where θ ∈ (1/2, 1). Because the prior is common and all the information is public, all players have common posterior beliefs about the likelihood of each event. Also, in this simple framework, bayesian updating implies that the posterior belief depends exclusively
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