Publications related to Detection theory

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements

The measurement matrix employed in compressive sensing typically cannot be known precisely a priori, and must be estimated via calibration. One may take multiple compressive measurements, from which the measurement matrix and underlying signals may be esti ...

Siam Publications2015

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

Dimitri Nestor Alice Van De Ville, Hamid Behjat, Nora Leonardi

A graph based framework for fMRI brain activation mapping is presented. The approach exploits the spectral graphwavelet transform (SGWT) for the purpose of defining an advanced multi-resolutional spatial transformation for fMRI data. The framework extends ...

Elsevier2015

Fast detection of novel problematic patterns based on dictionary learning and prediction of their lithographic difficulty

Andreas Krause, Frank Grégoire Jean de Morsier, Maria Gabrani

Assessing pattern printability in new large layouts faces important challenges of runtime and false detection. Lithographic simulation tools and classification techniques do not scale well. We propose a fast pattern detection method by learning an overcomp ...

2014

SVM Based Event Detection and Identification: Exploiting Temporal Attribute Correlations Using SensGru

Nauman Shahid

In the context of anomaly detection in cyber physical systems (CPS), spatiotemporal correlations are crucial for high detection rate. This work presents a new quarter sphere support vector machine (QS-SVM) formulation based on the novel concept of attribut ...

Hindawi Publishing Corporation2014

Weak lensing mass map and peak statistics in Canada-France-Hawaii Telescope Stripe 82 survey

Jean-Paul Richard Kneib, Frédéric Courbin, Georges Meylan, Johan Comparat, Huanyuan Shan

We present a weak lensing mass map covering similar to 124 deg(2) of the Canada-France-Hawaii Telescope Stripe 82 Survey (CS82). We study the statistics of rare peaks in the map, including peak abundance, the peak-peak correlation functions and the tangent ...

Wiley-Blackwell2014

Composition of Wide Bandgap Semiconductor Materials and Nanostructures Measured by Atom Probe Tomography and Its Dependence on the Surface Electric Field

Nicolas Grandjean, Jean-François Carlin, Raphaël Butté

Atom probe tomography allows for three-dimensional reconstruction of the elemental distribution in materials at the nanoscale. However, the measurement of the chemical composition of compound semiconductors may exhibit strong biases depending on the experi ...

Amer Chemical Soc2014

Alternative search techniques for face detection using location estimation and binary features

Sébastien Marcel, Venkatesh Bala Subburaman

The sliding window approach is the most widely used technique to detect an object from an image. In the past few years, classifiers have been improved in many ways to increase the scanning speed. Apart from the classifier design (such as the cascade), the ...

Academic Press Inc Elsevier Science2013

Optimal Sampling Rates in Infinite-Dimensional Compressed Sensing

Martin Vetterli, Loïc Arnaud Baboulaz, Mitra Fatemi

The theory of compressed sensing studies the problem of recovering a high dimensional sparse vector from its projections onto lower dimensional subspaces. The recently introduced framework of infinite-dimensional compressed sensing [1], to some extent gene ...

2013

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Detection theory

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

Fast detection of novel problematic patterns based on dictionary learning and prediction of their lithographic difficulty

SVM Based Event Detection and Identification: Exploiting Temporal Attribute Correlations Using SensGru

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

Brain connectivity in continuous error tasks

Weak lensing mass map and peak statistics in Canada-France-Hawaii Telescope Stripe 82 survey

Composition of Wide Bandgap Semiconductor Materials and Nanostructures Measured by Atom Probe Tomography and Its Dependence on the Surface Electric Field

Alternative search techniques for face detection using location estimation and binary features

Optimal Sampling Rates in Infinite-Dimensional Compressed Sensing

Graph Chatbot

Chat with Graph Search

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements

Weak lensing mass map and peak statistics in Canada-France-Hawaii Telescope Stripe 82 survey

Fast detection of novel problematic patterns based on dictionary learning and prediction of their lithographic difficulty

Brain connectivity in continuous error tasks

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

Optimal Sampling Rates in Infinite-Dimensional Compressed Sensing

SVM Based Event Detection and Identification: Exploiting Temporal Attribute Correlations Using SensGru

Composition of Wide Bandgap Semiconductor Materials and Nanostructures Measured by Atom Probe Tomography and Its Dependence on the Surface Electric Field

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

Alternative search techniques for face detection using location estimation and binary features