Publications
Explore 134 academic publications
Fast and accurate image upscaling with super-resolution forests
The aim of single image super-resolution is to reconstruct a high-resolution image from a single low-resolution input. Although the task is ill-posed it can be seen as finding a...
Input feature selection by mutual information based on Parzen window
Mutual information is a good indicator of relevance between variables, and have been used as a measure in several feature selection algorithms: However, calculating the mutual i...
Practical aspects of PARAFAC modeling of fluorescence excitation‐emission data
Abstract This paper presents a dedicated investigation and practical description of how to apply PARAFAC modeling to complicated fluorescence excitation–emission measurements. T...
Global traffic and disease vector dispersal
The expansion of global air travel and seaborne trade overcomes geographic barriers to insect disease vectors, enabling them to move great distances in short periods of time. He...
Parallel Tracking and Mapping on a camera phone
Camera phones are a promising platform for hand-held augmented reality. As their computational resources grow, they are becoming increasingly suitable for visual tracking tasks....
Risk‐based selection from the general population in a screening trial: Selection criteria, recruitment and power for the Dutch‐Belgian randomised lung cancer multi‐slice CT screening trial (NELSON)
Abstract A method to obtain the optimal selection criteria, taking into account available resources and capacity and the impact on power, is presented for the Dutch‐Belgian rand...
Many-core algorithms for statistical phylogenetics
Abstract Motivation: Statistical phylogenetics is computationally intensive, resulting in considerable attention meted on techniques for parallelization. Codon-based models allo...
Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats1
A large proportion of information systems research is concerned with developing and testing models pertaining to complex cognition, behaviors, and outcomes of individuals, teams...
Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity
Two endemic problems face researchers in the social sciences (e.g., Marketing, Economics, Psychology, and Finance): unobserved heterogeneity and measurement error in data. Struc...
Estimating the power spectrum of the cosmic microwave background
We develop two methods for estimating the power spectrum, C_l, of the cosmic microwave background (CMB) from data and apply them to the COBE/DMR and Saskatoon datasets. One meth...