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» Practical Extensions to the IFDS Algorithm
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ECCV
2008
Springer
15 years 11 months ago
A Linear Time Histogram Metric for Improved SIFT Matching
We present a new metric between histograms such as SIFT descriptors and a linear time algorithm for its computation. It is common practice to use the L2 metric for comparing SIFT d...
Ofir Pele, Michael Werman
JAIR
2002
163views more  JAIR 2002»
14 years 9 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
77
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INFOCOM
2009
IEEE
15 years 4 months ago
Scalable Routing Via Greedy Embedding
Abstract—We investigate the construction of greedy embeddings in polylogarithmic dimensional Euclidian spaces in order to achieve scalable routing through geographic routing. We ...
Cédric Westphal, Guanhong Pei
INFOCOM
2007
IEEE
15 years 3 months ago
Iterative Scheduling Algorithms
— The input-queued switch architecture is widely used in Internet routers due to its ability to run at very high line speeds. A central problem in designing an input-queued switc...
Mohsen Bayati, Balaji Prabhakar, Devavrat Shah, Ma...
JMLR
2008
230views more  JMLR 2008»
14 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...