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» Estimating Likelihoods for Topic Models
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ICIP
2001
IEEE
16 years 2 months ago
Multibit digital watermarking robust against local nonlinear geometrical distortions
This paper presents an efficient method for the estimation and recovering from nonlinear or local geometrical distortions, such as the random bending attack and restricted project...
Frédéric Deguillaume, Sviatoslav Vol...
116
Voted
IPMI
2007
Springer
16 years 1 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
125
Voted
ISBI
2004
IEEE
16 years 1 months ago
A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data
We present a fully four-dimensional, globally convergent, incremental gradient algorithm to estimate the continuous-time tracer density from list mode positron emission tomography...
Quanzheng Li, Evren Asma, Richard M. Leahy
ICC
2007
IEEE
102views Communications» more  ICC 2007»
15 years 7 months ago
Application of Cumulant Method In Performance Evaluation of Turbo-Like Codes
In this article, a new method for performance evaluation of Turbo-like codes is presented. This is based on estimating the Probability Density Function (pdf) of the bit Log-Likelih...
Ali Abedi, Mary E. Thompson, Amir K. Khandani
81
Voted
PAKDD
2004
ACM
113views Data Mining» more  PAKDD 2004»
15 years 6 months ago
Logistic Regression and Boosting for Labeled Bags of Instances
Abstract. In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connec...
Xin Xu, Eibe Frank