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104
Voted
EACL
2006
ACL Anthology
15 years 5 months ago
Adaptive Transformation-Based Learning for Improving Dictionary Tagging
We present an adaptive technique that enables users to produce a high quality dictionary parsed into its lexicographic components (headwords, pronunciations, parts of speech, tran...
Burcu Karagol-Ayan, David S. Doermann, Amy Weinber...
119
Voted
ICASSP
2010
IEEE
15 years 4 months ago
An adaptive level of detail approach to nonlinear estimation
In this work, we present a general method for approximating nonlinear transformations of Gaussian mixture random variables. It is based on transforming the individual Gaussians wi...
Friedrich Faubel, Dietrich Klakow
ICIP
2005
IEEE
16 years 5 months ago
Lossless image compression using an edge adapted lifting predictor
Abstract- We present a novel and computationally simple prediction stage in a Daubechies 5/3 ? like lifting structure for lossless image compression. In the 5/3 wavelet, the predic...
Ömer Nezih Gerek, A. Enis Çetin
122
Voted
ICSE
2003
IEEE-ACM
16 years 3 months ago
A Model and a Design Approach to Building QoS Adaptive Systems
The paper introduces a system model called the probabilistic asynchronous model which characterises the context in which many practical and the Internet-based applications are bui...
Paul D. Ezhilchelvan, Santosh K. Shrivastava
132
Voted
SAC
2008
ACM
15 years 3 months ago
Adaptive importance sampling in general mixture classes
In this paper, we propose an adaptive algorithm that iteratively updates both the weights and component parameters of a mixture importance sampling density so as to optimise the p...
Olivier Cappé, Randal Douc, Arnaud Guillin,...