Concept

Radial basis function network

Related publications (87)

Coverage Estimation in Floorplan Visual Sensor Networks

Mohammad Hamed Izadi, Ahmad Movahedian Attar

The issue of Coverage in visual sensor networks (VSNs) has attracted considerable attention due to sensors unique directional sensing characteristic. It answers the question that how well the target field is monitored by a network of sensors with video/ima ...

2013

Spline- and Wavelet-based Models of Neural Activity in Response to Natural Visual Stimulation

Joao Emanuel Felipe Gerhard, Luca Szegletes

We present a comparative study of the performance of different basis functions for the nonparametric modeling of neural activity in response to natural stimuli. Based on naturalistic video sequences, a generative model of neural activity was created using ...

Ieee2012

Transcribing Mandarin Broadcast Speech Using Multi-Layer Perceptron Acoustic Features

Fabio Valente, Wen Wang

Recently, several multi-layer perceptron (MLP)- based front-ends have been developed and used for Mandarin speech recognition, often showing significant complementary properties to conventional spectral features. Although widely used in multiple Mandarin s ...

2011

Saliency Detection for Content-aware Image Resizing

Sabine Süsstrunk, Radhakrishna Achanta

Content aware image re-targeting methods aim to arbitrarily change image aspect ratios while preserving visually prominent features. To determine visual importance of pixels, existing re-targeting schemes mostly rely on grayscale intensity gradient maps. T ...

2009

Identification of parameters and structure of piecewise affine models of genetic networks

Giancarlo Ferrari Trecate

In this paper we consider piecewise affine models of genetic regulatory networks proposed by Glass and Kaufmann in the 70's and discuss a method for their identification. These systems have specific features that must be preserved by the identification pro ...

2009

Learning Nonlinear Multi-Variate Motion Dynamics for Real- Time Position and Orientation Control of Robotic Manipulators

Aude Billard, Elena Gribovskaya

We present a generic framework that allows learning non- linear dynamics of motion in manipulation tasks and generating dynamical laws for control of position and orientation. This work follows a recent trend in Programming by Demonstration in which the dy ...

2009

Fast keyword detection with sparse time-frequency models

Pascal Frossard, Olivier Verscheure, Effrosyni Kokiopoulou

We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on sparse representation of speech signals in a time-frequency feature space. The t ...

2008

Human insula activation reflects risk prediction errors as well as risk

Kerstin Preuschoff

Understanding how organisms deal with probabilistic stimulus-reward associations has been advanced by a convergence between reinforcement learning models and primate physiology, which demonstrated that the brain encodes a reward prediction error signal. Ho ...

2008

Parasites lead to evolution of robustness against gene loss in host signaling networks

Marcel Salathé

Many biological networks can maintain their function against single gene loss. However, the evolutionary mechanisms responsible for such robustness remain unclear. Here, we demonstrate that antagonistic host-parasite interactions can act as a selective pre ...

Nature / European Molecular Biology Organization2008

OptoMEA: a new tool for combining local optical activation of compounds with distributed MEA recordings

Diego Ghezzi, Marc Olivier Heuschkel, Solomzi Makohliso

Since their introduction, Micro-Electrode Arrays (MEAs) have been exploited as devices providing distributed information about learning, memory and information processing in a cultured neuronal network, thus changing the field of view from single cell leve ...

2007

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