Publication
Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions
Related publications (40)
Dictionary learning for fast classification based on soft-thresholding
Pascal Frossard, Alhussein Fawzi
Classifiers based on sparse representations have recently been shown to provide excellent results in many visual recognition and classification tasks. However, the high cost of computing sparse representations at test time is a major obstacle that limits t ...
Springer2015A Probabilistic Kernel Method for Human Mobility Prediction with Smartphones
Human mobility prediction is an important problem which has a large num- ber of applications, especially in context-aware services. This paper presents a study on location prediction using smartphone data, in which we address mod- eling and application asp ...
2015Semi-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 ...
EPFL2014Intrusion Detection in MANET Using Classification Algorithms: The Effects of Cost and Model Selection
Christos Dimitrakakis, Aikaterini Mitrokotsa
Intrusion detection is frequently used as a second line of defense in Mobile Ad-hoc Networks (MANETs). In this paper we examine how to properly use classification methods in intrusion detection for MANETs. In order to do so we evaluate five supervised clas ...
Elsevier2013Nonparametric Construction of Multivariate Kernels
We propose a nonparametric method for constructing multivariate kernels tuned to the configuration of the sample, for density estimation in R-d, d moderate. The motivation behind the approach is to break down the construction of the kernel into two parts: ...
American Statistical Association2012Integration of Urban Structures in Point Process Analysis
Traditionally, spatial analysis of point pattern has been mostly focused on Euclidean space. As many human related phenomena take place on a network, the assumption of a continuous isotropic space fails to describe events which actually occur on a one-dime ...
2011Learning parameterized histogram kernels on the simplex manifold for image and action classification
State-of-the-art image and action classification systems often employ vocabulary-based representations. The classification accuracy achieved with such vocabulary-based representations depends significantly on the chosen histogram-distance. In particular, w ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011Pattern-Based Sensing of Sulfated Glycosaminoglycans with a Dynamic Mixture of Iron Complexes
A dynamic mixture of iron complexes was used as a colorimetric sensor for sulfated glycosaminoglycans. The sensing ensemble was prepared by mixing [FeCl2(H2O)4] with dipicolylamine, the functionalized bipyridyl ligand N-(6-aminohexyl)-4'-methyl-2,2'-bipyri ...
Royal Society of Chemistry2010Quantitative Morphometrical Characterization of Human Pronuclear Zygotes
Michaël Unser, Philippe Thévenaz
BACKGROUND: Identification of embryos with high implantation potential remains a challenge in in vitro fertilization (IVF). Subjective pronuclear (PN) zygote scoring systems have been developed for that purpose. The aim of this work was to provide a softwa ...
Oxford University Press2008Bayesian machine learning applied in a brain-computer interface for disabled users
A brain-computer interface (BCI) is a system that enables control of devices or communication with other persons, only through cerebral activity, without using muscles. The main application for BCIs is assistive technology for disabled persons. Examples fo ...
EPFL2007