Publications related to Comparison-Based Optimizers Need Comparison-Based Surrogates

Pairwise Comparisons with Flexible Time-Dynamics

Matthias Grossglauser, Lucas Maystre, Victor Kristof

Inspired by applications in sports where the skill of players or teams competing against each other varies over time, we propose a probabilistic model of pairwise-comparison outcomes that can capture a wide range of time dynamics. We achieve this by replac ...

ASSOC COMPUTING MACHINERY2019

A novel biomechanical approach for animal behaviour recognition using accelerometers

Kamiar Aminian, Pritish Chakravarty

Data from animal-borne inertial sensors are widely used to investigate several aspects of an animal's life, such as energy expenditure, daily activity patterns and behaviour. Accelerometer data used in conjunction with machine learning algorithms have b ...

2019

Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling

Divesh Aggarwal

We give a randomized 2^{n+o(n)}-time and space algorithm for solving the Shortest Vector Problem (SVP) on n-dimensional Euclidean lattices. This improves on the previous fastest algorithm: the deterministic O(4^n)-time and O(2^n)-space algorithm of Miccian ...

ACM2015

Modeling the Importance of Faces in Natural Images

Sabine Süsstrunk, Cheryl Shaulya Lau, Appu Shaji, Gökhan Yildirim, Bin Jin

In this work we study the varying importance of faces in images. Face importance is found to be affected by the size and number of faces present. We collected a dataset of 152 face images with faces in different size and number of faces. We conducted a cro ...

Spie-Int Soc Optical Engineering2015

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Frank Grégoire Jean de Morsier

The main challenge of new information technologies is to retrieve intelligible information from the large volume of digital data gathered every day. Among the variety of existing data sources, the satellites continuously observing the surface of the Earth ...

EPFL2014

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

We study the statistics of wavelet coefficients of non-Gaussian images, focusing mainly on the behaviour at coarse scales. We assume that an image can be whitened by a fractional Laplacian operator, which is consistent with an

∥ω∥ ^{ -\gamma }

spectral ...

IEEE2014

Motion Interaction Field for Accident Detection in Traffic Surveillance Video

Kwang Moo Yi, Seungryong Kim

This paper presents a novel method for modeling of interaction among multiple moving objects to detect traffic accidents. The proposed method to model object interactions is motivated by the motion of water waves responding to moving objects on water surfa ...

2014

On The Optimality Of Operator-Like Wavelets For Sparse Ar(1) Processes

Michaël Unser, Pedram Pad

Sinusoidal transforms such as the DCT are known to be optimal-that is, asymptotically equivalent to the Karhunen-Loeve transform (KLT)-for the representation of Gaussian stationary processes, including the classical AR(1) processes. While the KLT remains a ...

Ieee2013

On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

Michaël Unser, Pedram Pad

Sinusoidal transforms such as the DCT are known to be optimal—that is, asymptotically equivalent to the Karhunen-Loève transform (KLT)—for the representation of Gaussian stationary processes, including the classical AR(1) processes. While the KLT remains ...

IEEE2013

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Aurélien Lucchi

Segmenting images is a significant challenge that has drawn a lot of attention from different fields of artificial intelligence and has many practical applications. One such challenge addressed in this thesis is the segmentation of electron microscope (EM) ...

EPFL2013

Comparison-Based Optimizers Need Comparison-Based Surrogates

Graph Chatbot

Chat with Graph Search

Pairwise Comparisons with Flexible Time-Dynamics

A novel biomechanical approach for animal behaviour recognition using accelerometers

Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling

Modeling the Importance of Faces in Natural Images

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Motion Interaction Field for Accident Detection in Traffic Surveillance Video

On The Optimality Of Operator-Like Wavelets For Sparse Ar(1) Processes

On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

A novel biomechanical approach for animal behaviour recognition using accelerometers

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling

Modeling the Importance of Faces in Natural Images

On The Optimality Of Operator-Like Wavelets For Sparse Ar(1) Processes

Pairwise Comparisons with Flexible Time-Dynamics

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Motion Interaction Field for Accident Detection in Traffic Surveillance Video