Mines ParisTech

About: Mines ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Microstructure. The organization has 6564 authors who have published 11676 publications receiving 359898 citations. The organization is also known as: École nationale supérieure des mines de Paris & École des mines de Paris.

Spectral–Spatial Classification of Hyperspectral Data Based on a Stochastic Minimum Spanning Forest Approach

Abstract: In this paper, a new method for supervised hyperspectral data classification is proposed. In particular, the notion of stochastic minimum spanning forest (MSF) is introduced. For a given hyperspectral image, a pixelwise classification is first performed. From this classification map, M marker maps are generated by randomly selecting pixels and labeling them as markers for the construction of MSFs. The next step consists in building an MSF from each of the M marker maps. Finally, all the M realizations are aggregated with a maximum vote decision rule in order to build the final classification map. The proposed method is tested on three different data sets of hyperspectral airborne images with different resolutions and contexts. The influences of the number of markers and of the number of realizations M on the results are investigated in experiments. The performance of the proposed method is compared to several classification techniques (both pixelwise and spectral-spatial) using standard quantitative criteria and visual qualitative evaluation.

Towards an epistemology of collective action: management research as a responsive and actionable discipline

Abstract: Critics simultaneously question the relevance of academic knowledge about management, the scientific unity of the field and the performance of business schools. They signal the lack of an adequate epistemology for management research. This paper explores the possible nature of such an epistemology. Classic epistemology looked for universal truth but ended up accepting a model of action: the experimental method. Contemporary critiques of classic epistemology offer relativist views about truth but focus on metaphysics of action, that is, false universals of collective action. Truth being dependant of models of action, a useful epistemology can be defined as the research-based revision of these models. It is quite different from pragmatism and relativism: applied to the ‘knowing observer’ it led to important discoveries in physics and mathematics. Management research should similarly recognize that each knowing method gives access to different truths and corresponds to a different conception of responsiveness and actionability. The identity and value of management research is also clarified as opposing metaphysics of action and developing a research process for the identification and revision of new models of action. Four examples of management research leading to such revision are discussed: the theory of management instruments vs the metaphysics of social control; the theory of prescribers vs the metaphysics of markets and hierarchies; the theory of collective knowledge production vs the metaphysics of expertise; the theory of innovative design vs the metaphysics of R&D projects. Within an epistemology of collective action, management research can be defined as a basic discipline and not as an applied one.

Two-dimensional multivalued traveltime and amplitude maps by uniform sampling of a ray field

Abstract: SUMMARY An algorithm for computing multivalued maps for traveltime, amplitude or any other ray-related variable is presented. It is based on a wavefront construction method, where the ray field is decomposed into elementary cells defined by adjacent rays and wavefronts. A sampling criterion for ray density in the phase space is suggested. It is demonstrated that this new criterion ensures uniform ray density over the entire ray field including caustics. The method is applied to complex models.

Uniform Practical Nonlinear Output Regulation

Abstract: In this paper, we present a solution to the problem of asymptotic and practical semiglobal regulation by output feedback for nonlinear systems. A key feature of the proposed approach is that practical regulation is achieved uniformly with respect to the dimension of the internal model and to the gain of the stabilizer near the zero error manifold. This property renders the approach interesting for a number of real cases by bridging the gap between output regulation theory and advanced engineering applications. Simulation results regarding meaningful control problems are also presented.