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NPL
2006
172views more  NPL 2006»
15 years 5 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
CVPR
2012
IEEE
13 years 7 months ago
Supervised hashing with kernels
Recent years have witnessed the growing popularity of hashing in large-scale vision problems. It has been shown that the hashing quality could be boosted by leveraging supervised ...
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shi...
IPSN
2005
Springer
15 years 11 months ago
eBlocks - an enabling technology for basic sensor based systems
—We describe the development of a set of embedded system building blocks, known as eBlocks. An eBlock network can be viewed as a basic form of sensor network that can be develope...
Susan Cotterell, Ryan Mannion, Frank Vahid, Harry ...
JSAC
2011
185views more  JSAC 2011»
15 years 11 days ago
Joint Dynamic Resource Allocation and Waveform Adaptation for Cognitive Networks
This paper investigates the issue of dynamic resource allocation (DRA) in the context of multiuser cognitive radio networks. We present a general framework adopting generalized si...
Zhi Tian, Geert Leus, Vincenzo Lottici
UAI
2008
15 years 6 months ago
Refractor Importance Sampling
In this paper we introduce Refractor Importance Sampling (RIS), an improvement to reduce error variance in Bayesian network importance sampling propagation under evidential reason...
Haohai Yu, Robert van Engelen