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Title: Sampling Spatially Correlated Clutter |
Abstract: Correlated $\cal G$ distributions can be used to describe the clutter seen in images obtained with coherent illumination, as is the case of B-scan ultrasound, laser, sonar and synthetic aperture radar (SAR) imagery. These distributions are derived using the square root of the generalized inverse Gaussian dist... |
Title: Local additive estimation |
Abstract: Additive models are popular in high--dimensional regression problems because of flexibility in model building and optimality in additive function estimation. Moreover, they do not suffer from the so-called \it curse of dimensionality generally arising in nonparametric regression setting. Less known is the mod... |
Title: Directional Cross Diamond Search Algorithm for Fast Block Motion Estimation |
Abstract: In block-matching motion estimation (BMME), the search patterns have a significant impact on the algorithm's performance, both the search speed and the search quality. The search pattern should be designed to fit the motion vector probability (MVP) distribution characteristics of the real-world sequences. In ... |
Title: High dimensional gaussian classification |
Abstract: High dimensional data analysis is known to be as a challenging problem. In this article, we give a theoretical analysis of high dimensional classification of Gaussian data which relies on a geometrical analysis of the error measure. It links a problem of classification with a problem of nonparametric regressi... |
Title: Modeling And Simulation Of Prolate Dual-Spin Satellite Dynamics In An Inclined Elliptical Orbit: Case Study Of Palapa B2R Satellite |
Abstract: In response to the interest to re-use Palapa B2R satellite nearing its End of Life (EOL) time, an idea to incline the satellite orbit in order to cover a new region has emerged in the recent years. As a prolate dual-spin vehicle, Palapa B2R has to be stabilized against its internal energy dissipation effect. ... |
Title: Onboard Multivariable Controller Design for a Small Scale Helicopter Using Coefficient Diagram Method |
Abstract: A mini scale helicopter exhibits not only increased sensitivity to control inputs and disturbances, but also higher bandwidth of its dynamics. These properties make model helicopters, as a flying robot, more difficult to control. The dynamics model accuracy will determine the performance of the designed contr... |
Title: Collaborative model of interaction and Unmanned Vehicle Systems' interface |
Abstract: The interface for the next generation of Unmanned Vehicle Systems should be an interface with multi-modal displays and input controls. Then, the role of the interface will not be restricted to be a support of the interactions between the ground operator and vehicles. Interface must take part in the interactio... |
Title: The Euler-Poincare theory of Metamorphosis |
Abstract: In the pattern matching approach to imaging science, the process of ``metamorphosis'' is template matching with dynamical templates. Here, we recast the metamorphosis equations of into the Euler-Poincare variational framework of and show that the metamorphosis equations contain the equations for a perfect com... |
Title: A Nonparametric Approach to 3D Shape Analysis from Digital Camera Images - I. in Memory of W.P. Dayawansa |
Abstract: In this article, for the first time, one develops a nonparametric methodology for an analysis of shapes of configurations of landmarks on real 3D objects from regular camera photographs, thus making 3D shape analysis very accessible. A fundamental result in computer vision by Faugeras (1992), Hartley, Gupta a... |
Title: Utilisation des grammaires probabilistes dans les t\^aches de segmentation et d'annotation prosodique |
Abstract: Nous pr\'esentons dans cette contribution une approche \`a la fois symbolique et probabiliste permettant d'extraire l'information sur la segmentation du signal de parole \`a partir d'information prosodique. Nous utilisons pour ce faire des grammaires probabilistes poss\'edant une structure hi\'erarchique mini... |
Title: Belief Propagation and Beyond for Particle Tracking |
Abstract: We describe a novel approach to statistical learning from particles tracked while moving in a random environment. The problem consists in inferring properties of the environment from recorded snapshots. We consider here the case of a fluid seeded with identical passive particles that diffuse and are advected ... |
Title: The Role of Artificial Intelligence Technologies in Crisis Response |
Abstract: Crisis response poses many of the most difficult information technology in crisis management. It requires information and communication-intensive efforts, utilized for reducing uncertainty, calculating and comparing costs and benefits, and managing resources in a fashion beyond those regularly available to ha... |
Title: The end of Sleeping Beauty's nightmare |
Abstract: The way a rational agent changes her belief in certain propositions/hypotheses in the light of new evidence lies at the heart of Bayesian inference. The basic natural assumption, as summarized in van Fraassen's Reflection Principle ([1984]), would be that in the absence of new evidence the belief should not c... |
Title: Temporized Equilibria |
Abstract: This paper has been withdrawn by the author due to a crucial error in the submission action. |
Title: Fast Wavelet-Based Visual Classification |
Abstract: We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work of Serre et al. Specifically, trading-off biological accuracy for computational efficiency, we explore using wavelet and grouplet-like transforms to parallel the tuning of visual cortex V1 and ... |
Title: Analysis of Metric Distances and Volumes of Hippocampi Indicates Different Morphometric Changes over Time in Dementia of Alzheimer Type and Nondemented Subjects |
Abstract: In this article, we analyze the morphometry of hippocampus in subjects with very mild dementia of Alzheimer's type (DAT) and nondemented controls and how it changes over a two-year period. Morphometric differences with respect to a template hippocampus were measured by the metric distance obtained from the La... |
Title: SiZer for Censored Density and Hazard Estimation |
Abstract: The SiZer method is extended to nonparametric hazard estimation and also to censored density and hazard estimation. The new method allows quick, visual statistical inference about the important issue of statistically significant increases and decreases in the smooth curve estimate. This extension has required... |
Title: Data-Complexity of the Two-Variable Fragment with Counting Quantifiers |
Abstract: The data-complexity of both satisfiability and finite satisfiability for the two-variable fragment with counting is NP-complete; the data-complexity of both query-answering and finite query-answering for the two-variable guarded fragment with counting is co-NP-complete. |
Title: Toward a combination rule to deal with partial conflict and specificity in belief functions theory |
Abstract: We present and discuss a mixed conjunctive and disjunctive rule, a generalization of conflict repartition rules, and a combination of these two rules. In the belief functions theory one of the major problem is the conflict repartition enlightened by the famous Zadeh's example. To date, many combination rules ... |
Title: Confidence Sets Based on Penalized Maximum Likelihood Estimators in Gaussian Regression |
Abstract: Confidence intervals based on penalized maximum likelihood estimators such as the LASSO, adaptive LASSO, and hard-thresholding are analyzed. In the known-variance case, the finite-sample coverage properties of such intervals are determined and it is shown that symmetric intervals are the shortest. The length ... |
Title: Evaluation for Uncertain Image Classification and Segmentation |
Abstract: Each year, numerous segmentation and classification algorithms are invented or reused to solve problems where machine vision is needed. Generally, the efficiency of these algorithms is compared against the results given by one or many human experts. However, in many situations, the location of the real bounda... |
Title: A new generalization of the proportional conflict redistribution rule stable in terms of decision |
Abstract: In this chapter, we present and discuss a new generalized proportional conflict redistribution rule. The Dezert-Smarandache extension of the Demster-Shafer theory has relaunched the studies on the combination rules especially for the management of the conflict. Many combination rules have been proposed in the... |
Title: Human expert fusion for image classification |
Abstract: In image classification, merging the opinion of several human experts is very important for different tasks such as the evaluation or the training. Indeed, the ground truth is rarely known before the scene imaging. We propose here different models in order to fuse the informations given by two or more experts... |
Title: Une nouvelle r\`egle de combinaison r\'epartissant le conflit - Applications en imagerie Sonar et classification de cibles Radar |
Abstract: These last years, there were many studies on the problem of the conflict coming from information combination, especially in evidence theory. We can summarise the solutions for manage the conflict into three different approaches: first, we can try to suppress or reduce the conflict before the combination step,... |
Title: Perfect Derived Propagators |
Abstract: When implementing a propagator for a constraint, one must decide about variants: When implementing min, should one also implement max? Should one implement linear equations both with and without coefficients? Constraint variants are ubiquitous: implementing them requires considerable (if not prohibitive) effo... |
Title: Classification of curves in 2D and 3D via affine integral signatures |
Abstract: We propose a robust classification algorithm for curves in 2D and 3D, under the special and full groups of affine transformations. To each plane or spatial curve we assign a plane signature curve. Curves, equivalent under an affine transformation, have the same signature. The signatures introduced in this pap... |
Title: Fusion de classifieurs pour la classification d'images sonar |
Abstract: In this paper, we present some high level information fusion approaches for numeric and symbolic data. We study the interest of such method particularly for classifier fusion. A comparative study is made in a context of sea bed characterization from sonar images. The classi- fication of kind of sediment is a ... |
Title: Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification |
Abstract: The sonar images provide a rapid view of the seabed in order to characterize it. However, in such as uncertain environment, real seabed is unknown and the only information we can obtain, is the interpretation of different human experts, sometimes in conflict. In this paper, we propose to manage this conflict ... |
Title: Generalized proportional conflict redistribution rule applied to Sonar imagery and Radar targets classification |
Abstract: In this chapter, we present two applications in information fusion in order to evaluate the generalized proportional conflict redistribution rule presented in the chapter . Most of the time the combination rules are evaluated only on simple examples. We study here different combination rules and compare them ... |
Title: Beyond Nash Equilibrium: Solution Concepts for the 21st Century |
Abstract: Nash equilibrium is the most commonly-used notion of equilibrium in game theory. However, it suffers from numerous problems. Some are well known in the game theory community; for example, the Nash equilibrium of repeated prisoner's dilemma is neither normatively nor descriptively reasonable. However, new prob... |
Title: Defaults and Normality in Causal Structures |
Abstract: A serious defect with the Halpern-Pearl (HP) definition of causality is repaired by combining a theory of causality with a theory of defaults. In addition, it is shown that (despite a claim to the contrary) a cause according to the HP condition need not be a single conjunct. A definition of causality motivate... |
Title: Improved Likelihood Inference in Birnbaum-Saunders Regressions |
Abstract: The Birnbaum-Saunders regression model is commonly used in reliability studies. We address the issue of performing inference in this class of models when the number of observations is small. We show that the likelihood ratio test tends to be liberal when the sample size is small, and we obtain a correction fa... |
Title: An Intelligent Multi-Agent Recommender System for Human Capacity Building |
Abstract: This paper presents a Multi-Agent approach to the problem of recommending training courses to engineering professionals. The recommendation system is built as a proof of concept and limited to the electrical and mechanical engineering disciplines. Through user modelling and data collection from a survey, coll... |
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