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» A fast algorithm for computing large Fibonacci numbers
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126
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PR
2006
132views more  PR 2006»
15 years 3 months ago
Some approaches to improve tree-based nearest neighbour search algorithms
Nearest neighbour search is a widely used technique in pattern recognition. During the last three decades a large number of fast algorithms have been proposed. In this work we are...
Eva Gómez-Ballester, Luisa Micó, Jos...
154
Voted
TNN
2010
176views Management» more  TNN 2010»
14 years 10 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
128
Voted
ICDCS
2007
IEEE
15 years 7 months ago
Optimizing Multicast Performance in Large-Scale WLANs
Support for efficient multicasting in WLANs can enable new services such as streaming TV channels, radio channels, and visitor's information. With increasing deployments of l...
Ai Chen, Dongwook Lee, Prasun Sinha
141
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HIS
2004
15 years 5 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
128
Voted
PERCOM
2006
ACM
16 years 3 months ago
Transmission control scheme for fast RFID object identification
There are a variety of approaches to improve the speed at which large RFID tag populations are being identified. In this paper, we present a transmission control strategy for a co...
Christian Floerkemeier