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CCS
2005
ACM
15 years 10 months ago
A model and architecture for pseudo-random generation with applications to /dev/random
We present a formal model and a simple architecture for robust pseudorandom generation that ensures resilience in the face of an observer with partial knowledge/control of the gen...
Boaz Barak, Shai Halevi
JMLR
2010
119views more  JMLR 2010»
14 years 11 months ago
The Coding Divergence for Measuring the Complexity of Separating Two Sets
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Mahito Sugiyama, Akihiro Yamamoto
PAMI
2012
13 years 7 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
CVPR
2003
IEEE
16 years 6 months ago
Activity Recognition Using the Dynamics of the Configuration of Interacting Objects
Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very...
Namrata Vaswani, Amit K. Roy Chowdhury, Rama Chell...
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 9 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...