Sciweavers

TSP
2010
12 years 10 months ago
A low complexity blind estimator of narrowband polynomial phase signals
Consider the problem of estimating the parameters of multiple polynomial phase signals observed by a sensor array. In practice, it is difficult to maintain a precisely calibrated a...
Alon Amar, Amir Leshem, Alle-Jan van der Veen
SOCIALCOM
2010
13 years 1 months ago
Estimating the Size of Online Social Networks
The huge size of online social networks (OSNs) makes it prohibitively expensive to precisely measure any properties which require the knowledge of the entire graph. To estimate the...
Shaozhi Ye, Shyhtsun Felix Wu
PR
2002
108views more  PR 2002»
13 years 3 months ago
Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
André Jalobeanu, Laure Blanc-Féraud,...
TIFS
2008
120views more  TIFS 2008»
13 years 3 months ago
Determining Image Origin and Integrity Using Sensor Noise
In this paper, we provide a unified framework for identifying the source digital camera from its images and for revealing digitally altered images using photo-response nonuniformit...
Mo Chen, Jessica J. Fridrich, Miroslav Goljan, Jan...
TIFS
2008
194views more  TIFS 2008»
13 years 3 months ago
Detection of Double-Compression in JPEG Images for Applications in Steganography
This paper presents a method for detection of double JPEG compression and a maximum likelihood estimator of the primary quality factor. These methods are essential for construction...
Tomás Pevný, Jessica J. Fridrich
CORR
2007
Springer
140views Education» more  CORR 2007»
13 years 3 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
DICTA
2003
13 years 5 months ago
Maximum-Likelihood Circle-Parameter Estimation via Convolution
In this paper, we present an interpretation of the Maximum Likelihood Estimator (MLE) and the Delogne-K˚asa Estimator (DKE) for circle-parameter estimation via convolution. Under ...
Emanuel Zelniker, Vaughan Clarkson
ACL
2006
13 years 5 months ago
An All-Subtrees Approach to Unsupervised Parsing
We investigate generalizations of the allsubtrees "DOP" approach to unsupervised parsing. Unsupervised DOP models assign all possible binary trees to a set of sentences ...
Rens Bod
BMVC
2002
13 years 6 months ago
Maximum Likelihood 3D Reconstruction from One or More Images under Geometric Constraints
We address the 3D reconstruction of scenes in which some planarity, collinearity, symmetry and other geometric properties are known
Etienne Grossmann, José Santos-Victor
COLT
2006
Springer
13 years 7 months ago
Improving Random Projections Using Marginal Information
Abstract. We present an improved version of random projections that takes advantage of marginal norms. Using a maximum likelihood estimator (MLE), marginconstrained random projecti...
Ping Li, Trevor Hastie, Kenneth Ward Church