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» Streaming Algorithms for extent problems in high dimensions
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CVPR
2008
IEEE
15 years 11 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic
SPE
2008
108views more  SPE 2008»
14 years 9 months ago
Effective asymmetric XML compression
The innate verbosity of the Extensible Markup Language remains one of its main weaknesses, especially when large XML documents are concerned. This problem can be solved with the a...
Przemyslaw Skibinski, Szymon Grabowski, Jakub Swac...
72
Voted
ICML
2004
IEEE
15 years 10 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
AIIA
2007
Springer
15 years 3 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
133
Voted
INFOCOM
2011
IEEE
14 years 29 days ago
Multiple task scheduling for low-duty-cycled wireless sensor networks
—For energy conservation, a wireless sensor network is usually designed to work in a low-duty-cycle mode, in which a sensor node keeps active for a small percentage of time durin...
Shuguang Xiong, Jianzhong Li, Mo Li, Jiliang Wang,...