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EMNLP
2010
14 years 10 months ago
We're Not in Kansas Anymore: Detecting Domain Changes in Streams
Domain adaptation, the problem of adapting a natural language processing system trained in one domain to perform well in a different domain, has received significant attention. Th...
Mark Dredze, Tim Oates, Christine D. Piatko
ISBI
2004
IEEE
16 years 1 months ago
Adaptive Finite Element Methods for Fluorescence Enhanced Frequency Domain Optical Tomography: Forward Imaging Problem
In this contribution we introduce adaptive finite element methods for forward modeling in fluorescence optical tomography. Adaptive local mesh refinement increases the accuracy of...
Amit Joshi, Eva M. Sevick-Muraca, Alan B. Thompson...
104
Voted
TCC
2009
Springer
160views Cryptology» more  TCC 2009»
16 years 1 months ago
Simple, Black-Box Constructions of Adaptively Secure Protocols
We present a compiler for transforming an oblivious transfer (OT) protocol secure against an adaptive semi-honest adversary into one that is secure against an adaptive malicious ad...
Seung Geol Choi, Dana Dachman-Soled, Tal Malkin, H...
75
Voted
ICDAR
2009
IEEE
15 years 7 months ago
Unsupervised HMM Adaptation Using Page Style Clustering
In this paper we present an innovative two-stage adaptation approach for handwriting recognition that is based on clustering of similar pages in the training data. In our approach...
Huaigu Cao, Rohit Prasad, Shirin Saleem, Premkumar...
SASO
2009
IEEE
15 years 7 months ago
MOCAS: A State-Based Component Model for Self-Adaptation
This paper introduces MOCAS (Model Of Components for Adaptive Systems), a generic state-based component model which enables the self-adaptation of software components together wit...
Cyril Ballagny, Nabil Hameurlain, Franck Barbier