Publications related to Binary classification

Classification of daily-life postural transitions using trunk-worn wearable barometric pressure sensor

Kamiar Aminian, Anisoara Ionescu, Fabien Massé, Alan Kevin Bourke

Distinguishing sedentary from dynamic behavior is essential in addressing disease conditions that are influenced by mobility. Event-based activity recognition algorithms essentially rely on accurate classification of siting and standing postural transition ...

2013

Fast Object Detection with Entropy-Driven Evaluation

Pascal Fua, François Fleuret, Raphael Sznitman, Carlos Joaquin Becker

Cascade-style approaches to implementing ensemble classifiers can deliver significant speed-ups at test time. While highly effective, they remain challenging to tune and their overall performance depends on the availability of large validation sets to esti ...

2013

Fast Object Detection with Entropy-Driven Evaluation

Pascal Fua, François Fleuret, Raphael Sznitman, Carlos Joaquin Becker

Cascade-style approaches to implementing ensemble classifiers can deliver significant speed-ups at test time. While highly effective, they remain challenging to tune and their overall performance depends on the availability of large validation sets to esti ...

2013

Inverse Solutions for Brain Computer Interface

José del Rocio Millán Ruiz, Mohit Kumar Goel

Inverse solution allows to estimate sources that generate a given scalp EEG topography. Recently, it has been used in Brain Computer Interfaces (BCIs) to extract robust features based on the hypothesis that projection onto the source space (high dimensiona ...

EPFL2013

Scaled False Discovery Proportion and Related Error Metrics

Jean-Philippe Thiran, Stephan Morgenthaler, Djalel Eddine Meskaldji

In multiple testing, a variety of control metrics of false positives have been introduced such as the Per Family Error Rate (PFER), Family-Wise Error Rate (FWER), the False Discovery Rate (FDR), the False Exceedence Rate (FER). In this talk, we present a c ...

2013

An exploration with online complex activity recognition using cellphone accelerometer

Karl Aberer, Zhixian Yan, Dipanjan Chakraborty, Sumit Mittal

We investigate the problem of online detection of complex activities (such as cooking, lunch, work at desk), i.e., recognizing them while the activities are being performed using parts of the sensor data. In contrast to prior work, where complex activity r ...

ACM2013

On the Function Field Sieve and the Impact of Higher Splitting Probabilities: Application to Discrete Logarithms in $\mathbb{F}_{2^{1971}}$ and $\mathbb{F}_{2^{3164}}$

Robert Granger, Jens Markus Zumbrägel

In this paper we propose a binary field variant of the Joux-Lercier medium-sized Function Field Sieve, which results not only in complexities as low as

L_{q^n}(1/3,(4/9)1/3)

for computing arbitrary logarithms, but also in an heuristic polynomial time alg ...

Springer Berlin Heidelberg2013

Face detection using boosted Jaccard distance-based regression

Sébastien Marcel, Cosmin Atanasoaei

This paper presents a new face detection method. We train a model that predicts the Jaccard distance between a sample sub-window and the ground truth face location. This model produces continuous outputs as opposite to the binary output produced by the wid ...

Idiap2012

The timing of exploratory decision-making revealed by single-trial topographic EEG analyses

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Nicolas Bourdaud, Micah Murray, Athina Tzovara

Decision-making in an uncertain environment is driven by two major needs: exploring the environment to gather information or exploiting acquired knowledge to maximize reward. The neural processes underlying exploratory decision-making have been mainly stud ...

Elsevier2012

Learning Pattern Transformation Manifolds for Classification

Pascal Frossard, Elif Vural

Manifold models provide low-dimensional representations that are useful for analyzing and classifying data in a transformation-invariant way. In this paper we study the problem of jointly building multiple pattern transformation manifolds from a collection ...

2012

Binary classification

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Classification of daily-life postural transitions using trunk-worn wearable barometric pressure sensor

Fast Object Detection with Entropy-Driven Evaluation

Fast Object Detection with Entropy-Driven Evaluation

Inverse Solutions for Brain Computer Interface

Scaled False Discovery Proportion and Related Error Metrics

An exploration with online complex activity recognition using cellphone accelerometer

On the Function Field Sieve and the Impact of Higher Splitting Probabilities: Application to Discrete Logarithms in $\mathbb{F}_{2^{1971}}$ and $\mathbb{F}_{2^{3164}}$

Face detection using boosted Jaccard distance-based regression

The timing of exploratory decision-making revealed by single-trial topographic EEG analyses

Learning Pattern Transformation Manifolds for Classification

Scaled False Discovery Proportion and Related Error Metrics

On the Function Field Sieve and the Impact of Higher Splitting Probabilities: Application to Discrete Logarithms in $\mathbb{F}_{2^{1971}}$ and $\mathbb{F}_{2^{3164}}$

The timing of exploratory decision-making revealed by single-trial topographic EEG analyses

Learning Pattern Transformation Manifolds for Classification

Inverse Solutions for Brain Computer Interface

Fast Object Detection with Entropy-Driven Evaluation

Fast Object Detection with Entropy-Driven Evaluation

Classification of daily-life postural transitions using trunk-worn wearable barometric pressure sensor

Face detection using boosted Jaccard distance-based regression

An exploration with online complex activity recognition using cellphone accelerometer