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Matching on-the-fly in Sequential Experiments for Higher Power and Efficiency
Matching on-the-fly in Sequential Experiments Higher Power Efficiency
2013/6/14
We propose a dynamic allocation procedure that increases power and efficiency when measuring an average treatment effect in sequential randomized trials. Subjects arrive iteratively and are either ran...
Template matching with noisy patches: A contrast-invariant GLR test
Template matching Likelihood ratio test Detection theory Image restoration
2013/4/28
Matching patches from a noisy image to atoms in a dictionary of patches is a key ingredient to many techniques in image processing and computer vision. By representing with a single atom all patches t...
Template matching with noisy patches: A contrast-invariant GLR test
Template matching Likelihood ratio test Detection theory Image restoration
2013/4/28
Matching patches from a noisy image to atoms in a dictionary of patches is a key ingredient to many techniques in image processing and computer vision. By representing with a single atom all patches t...
We study algorithms for matching user tracks, consisting of time-ordered location points, to paths in the road network. Previous work has focused on the scenario where the location data is linearly or...
Coherence-Based Performance Guarantees of Orthogonal Matching Pursuit
Compressive Sensing(CS) Orthogonal Matching Pursuit(OMP) worst-case coherence average coherence support recovery signal reconstruction
2012/11/23
In this paper, we present coherence-based performance guarantees of Orthogonal Matching Pursuit (OMP) for both support recovery and signal reconstruction of sparse signals when the measurements are co...
Seeded Graph Matching
Seeded Graph Matching
2012/11/21
Graph inference is a burgeoning field in the applied and theoretical statistics communities, as well as throughout the wider world of science, engineering, business, etc. Given two graphs on the same ...
Statistical Detection of LSB Matching Using Hypothesis Testing Theory
Statistical Detection LSB Matchin Hypothesis Testing Theory
2012/9/19
This paper investigates the detection of information hidden by the Least Significant Bit (LSB) matching scheme. In a theoretical context of known image media parameters, two important results are pres...
Non-parametric change-point detection using string matching algorithms
School of Mathematics, University of Bristol, University Walk, Bristol, BS8 1TW, UK
2011/7/7
Given the output of a data source taking values in a finite alphabet, we wish to detect change-points, that is times when the statistical properties of the source change.
In this paper, we consider the problem of compressed sensing where the goal is to recover almost all the sparse vectors using a small number of fixed linear measurements. For this problem, we propose ...
Propensity Score Analysis with Matching Weights
Propensity score Causal inference Observational Study Match Inverse prob-ability weighting Double robustness Augmented Mirror histogram
2011/6/17
The propensity score analysis is one of the most widely used methods for study-
ing the causal treatment e ect in observational studies. This paper studies treatment
e ect estimation with the method...
Improved RIP Analysis of Orthogonal Matching Pursuit
compressive sensing sparse approximation orthogonal matching pursuit restricted isometry property greedy algorithms error bounds
2011/3/25
Orthogonal Matching Pursuit (OMP) has long been considered a powerful heuristic for attacking compressive sensing problems; however, its theoretical development is, unfortunately, somewhat lacking. Th...
The goal of cross-domain object matching (CDOM) is to find correspondence between two sets of objects in different domains in an unsupervised way. Photo album summarization is a typical application of...
The edges of the complete graph on n vertices are assigned independent exponentially distributed costs. A k-matching is a set of k edges of which no two have a vertex in common. We obtain explicit bou...
Multiple pattern matching：A Markov chain approach
Multiple pattern matching Markov chain approach
2010/4/28
RNA motifs typically consist of short, modular patterns that include base pairs formed
within and between modules. Estimating the abundance of these patterns is of fundamental
importance for assessi...