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» A theory of learning from different domains
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LICS
2008
IEEE
15 years 4 months ago
From Automatic Structures to Borel Structures
We study the classes of B¨uchi and Rabin automatic structures. For B¨uchi (Rabin) automatic structures their domains consist of infinite strings (trees), and the basic relation...
Greg Hjorth, Bakhadyr Khoussainov, Antonio Montalb...
ICML
2008
IEEE
15 years 10 months ago
Adaptive p-posterior mixture-model kernels for multiple instance learning
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
Hua-Yan Wang, Qiang Yang, Hongbin Zha
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 10 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
ICCV
2009
IEEE
16 years 3 months ago
Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation
Learning to cope with domain change has been known as a challenging problem in many real-world applications. This paper proposes a novel and efficient approach, named domain ada...
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah ...
PAMI
2010
122views more  PAMI 2010»
14 years 8 months ago
Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
—This paper addresses pattern classification in the framework of domain adaptation by considering methods that solve problems in which training data are assumed to be available o...
Lorenzo Bruzzone, Mattia Marconcini