25 research outputs found
Derechos Humanos Y Desarrollo En El Siglo Veintiuno: El Camino Complejo Hacia La Paz Y La Democracia: Temas De Los Seminarios Goodwin 2000
Mientras que el Siglo Veintiuno comienza, el sistema intemacional de los derechos humanos hace frente a una anomalia profunda
Human Rights And Development In The 21st Century: The Complex Path To Peace And Democracy: Themes From The 2000 Goodwin Seminar
As the twenty-first century begins, the international human rights system faces a profound anomaly
Low Complexity Regularization of Linear Inverse Problems
Inverse problems and regularization theory is a central theme in contemporary
signal processing, where the goal is to reconstruct an unknown signal from
partial indirect, and possibly noisy, measurements of it. A now standard method
for recovering the unknown signal is to solve a convex optimization problem
that enforces some prior knowledge about its structure. This has proved
efficient in many problems routinely encountered in imaging sciences,
statistics and machine learning. This chapter delivers a review of recent
advances in the field where the regularization prior promotes solutions
conforming to some notion of simplicity/low-complexity. These priors encompass
as popular examples sparsity and group sparsity (to capture the compressibility
of natural signals and images), total variation and analysis sparsity (to
promote piecewise regularity), and low-rank (as natural extension of sparsity
to matrix-valued data). Our aim is to provide a unified treatment of all these
regularizations under a single umbrella, namely the theory of partial
smoothness. This framework is very general and accommodates all low-complexity
regularizers just mentioned, as well as many others. Partial smoothness turns
out to be the canonical way to encode low-dimensional models that can be linear
spaces or more general smooth manifolds. This review is intended to serve as a
one stop shop toward the understanding of the theoretical properties of the
so-regularized solutions. It covers a large spectrum including: (i) recovery
guarantees and stability to noise, both in terms of -stability and
model (manifold) identification; (ii) sensitivity analysis to perturbations of
the parameters involved (in particular the observations), with applications to
unbiased risk estimation ; (iii) convergence properties of the forward-backward
proximal splitting scheme, that is particularly well suited to solve the
corresponding large-scale regularized optimization problem
Towards a Mathematical Theory of Cortical Micro-circuits
The theoretical setting of hierarchical Bayesian inference is gaining acceptance as a framework for understanding cortical computation. In this paper, we describe how Bayesian belief propagation in a spatio-temporal hierarchical model, called Hierarchical Temporal Memory (HTM), can lead to a mathematical model for cortical circuits. An HTM node is abstracted using a coincidence detector and a mixture of Markov chains. Bayesian belief propagation equations for such an HTM node define a set of functional constraints for a neuronal implementation. Anatomical data provide a contrasting set of organizational constraints. The combination of these two constraints suggests a theoretically derived interpretation for many anatomical and physiological features and predicts several others. We describe the pattern recognition capabilities of HTM networks and demonstrate the application of the derived circuits for modeling the subjective contour effect. We also discuss how the theory and the circuit can be extended to explain cortical features that are not explained by the current model and describe testable predictions that can be derived from the model
The Role of Human Rights in Global Securtiy Issues: A Normative and Institutional Critique
The purpose of this article is to evaluate the institutional and normative capacity of international human rights to effectively serve such enhanced roles in global peace and security matters. In particular, the analysis focuses on key normative and institutional weaknesses in the existing U.N. human rights system and addresses their implications for the roles which human rights might serve to enhance peace. By describing some of the system\u27s fundamental weaknesses, this analysis also indicates important areas for reform within the U.N. system
Autonomy, Self-Governance, and the Margin of Appreciation: Developing a Jurisprudence of Diversity Within Universal Human Rights
The Role of Human Rights in Global Security Issues: A Normative and Institutional Critique
Douglas Donoho, The Role of Human Rights in Global Security Issues: A Normative and Institutional Critique, 14 Michigan Journal of International Law 827 (1993)