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CVPR
2012
IEEE
13 years 6 days ago
Robust visual domain adaptation with low-rank reconstruction
Visual domain adaptation addresses the problem of adapting the sample distribution of the source domain to the target domain, where the recognition task is intended but the data d...
I-Hong Jhuo, Dong Liu, D. T. Lee, Shih-Fu Chang
TIT
2010
170views Education» more  TIT 2010»
14 years 4 months ago
Belief propagation estimation of protein and domain interactions using the sum-product algorithm
We present a novel framework to estimate protein-protein (PPI) and domain-domain (DDI) interactions based on a belief propagation estimation method that efficiently computes inter...
Faruck Morcos, Marcin Sikora, Mark S. Alber, Dale ...
ACML
2009
Springer
15 years 2 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
AAAI
2006
14 years 11 months ago
The Impact of Balancing on Problem Hardness in a Highly Structured Domain
Random problem distributions have played a key role in the study and design of algorithms for constraint satisfaction and Boolean satisfiability, as well as in our understanding o...
Carlos Ansótegui, Ramón Béjar...
IPPS
2007
IEEE
15 years 4 months ago
Domain Decomposition vs. Master-Slave in Apparently Homogeneous Systems
This paper investigates the utilization of the master-slave (MS) paradigm as an alternative to domain decomposition (DD) methods for parallelizing lattice gauge theory (LGT) model...
Cyril Banino-Rokkones