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» Adaptive Transfer Learning
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151
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PAMI
2012
13 years 5 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
139
Voted
ICCV
2011
IEEE
14 years 2 months ago
Tabula Rasa: Model Transfer for Object Category Detection
Our objective is transfer training of a discriminatively trained object category detector, in order to reduce the number of training images required. To this end we propose three ...
Yusuf Aytar, Andrew Zisserman
124
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STOC
1999
ACM
122views Algorithms» more  STOC 1999»
15 years 7 months ago
Oblivious Transfer and Polynomial Evaluation
Oblivious polynomial evaluation is a protocol involving two parties, a sender whose input is a polynomial P, and a receiver whose input is a value α. At the end of the protocol t...
Moni Naor, Benny Pinkas
112
Voted
ICALT
2006
IEEE
15 years 8 months ago
Composing Adaptive Learning Systems
Adaptive learning systems are recognized as one of the most interesting research topics in intelligent learning management systems. Taking as a point of departure the practices an...
Dirk Frosch-Wilke, Salvador Sánchez Alonso
115
Voted
TOOLS
2008
IEEE
15 years 9 months ago
Component Reassembling and State Transfer in MaDcAr-Based Self-adaptive Software
In this paper, we introduce MaDcAr, a model of engines for dynamic and automatic (re)assembling of component-based software. In MaDcAr, an application description consists of the d...
Guillaume Grondin, Noury Bouraqadi, Laurent Vercou...