Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach
Graph Chatbot
Chattez avec Graph Search
Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.
AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.
This paper discusses the problems raised by the optimization of a mutual information-based objective function, in the context of a multimodal speaker detection. As no approximation is used, this function is highly nonlinear and plagued by numerous local mi ...
Constraint satisfaction/optimization is a powerful paradigm for solving numerous tasks in distributed AI, including planning, scheduling and resource allocation. However, up to now, distributed algorithms for constraint reasoning (especially optimization) ...
This paper describes an analytical model developed to simulate and optimize an ultrasonic transducer to be used for spinal tissue ablation. Necessary elements for the construction of the transducer are described and then combined in a complete transducer m ...
In this paper, we present a novel technique for calibrating central omnidirectional cameras. The proposed procedure is very fast and completely automatic, as the user is only asked to collect a few images of a checker board, and click on its corner points. ...
In this paper, we present a flexible new technique for single-viewpoint omnidirectional camera calibration. The proposed method only re-quires the camera to observe a planar pattern shown at a few different orienta-tions. Either the camera or the planar pa ...
We have developed a new derivative-free algorithm based on Radial Basis Functions (RBFs). Derivative-free optimization is an active field of research and several algorithms have been proposed recently. Problems of this nature in the industrial setting are ...
We present in this paper a new complete method for distributed constraint optimization. This is a utility-propagation method, inspired by the sum-product algorithm (Kschischang et al 2001). The original algorithm requires fixed message sizes, linear memory ...
We define the distributed, real-time combinatorial optimization problem. We propose a general, semantically well-defined notion of solution stability in such systems, based on the cost of change from an already implemented solution to the new one. This app ...
We consider the problem of compressing a Gaussian source for two decoders, one of which has access to side-information. Kaspi has solved this problem for discrete memoryless sources for the two cases with and without encoder side-information. We focus on t ...
This paper proposes a new DOA (direction of arrival) estimation method for an arbitrary triangular microphone arrangement. Using the phase rotation factors for the crosscorrelations between the adjacent-microphone signals, a general form of the integrated ...
