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» Domain Adaptation for Statistical Classifiers
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ACL
2012
11 years 11 months ago
Mixing Multiple Translation Models in Statistical Machine Translation
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
Majid Razmara, George Foster, Baskaran Sankaran, A...
ICCV
2011
IEEE
12 years 8 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
ICIP
2001
IEEE
14 years 10 months ago
Statistical image restoration based on adaptive wavelet models
In this paper, we propose image restoration algorithms based on adaptive wavelet?domain statistical models. We present a method to estimate the model parameters from the observati...
Juan Liu, Pierre Moulin
CVPR
1998
IEEE
14 years 10 months ago
Using Adaptive Tracking to Classify and Monitor Activities in a Site
We describe a vision system that monitors activity in a site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive tracker...
W. Eric L. Grimson, Chris Stauffer, R. Romano, L. ...
IJRR
2010
214views more  IJRR 2010»
13 years 5 months ago
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
Over the last years, object detection has become a more and more active field of research in robotics. An important problem in object detection is the need for sufficient labeled ...
Kevin Lai, Dieter Fox