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» The complexity of approximating entropy
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COLT
1999
Springer
14 years 1 months ago
Boosting as Entropy Projection
We consider the AdaBoost procedure for boosting weak learners. In AdaBoost, a key step is choosing a new distribution on the training examples based on the old distribution and th...
Jyrki Kivinen, Manfred K. Warmuth
ICIP
2000
IEEE
14 years 11 months ago
Maximum Entropy Image Restoration Revisited
This paper presents a new non-iterative, closed-form approximation to the maximum entropy (M.E.) image restoration method. A fast frequency domain implementation of this closed fo...
Matthew Willis, Brian D. Jeffs, David G. Long
IJCAI
1989
13 years 10 months ago
Maximum Entropy in Nilsson's Probabilistic Logic
Nilsson's Probabilistic Logic is a set theoretic mechanism for reasoning with uncertainty. We propose a new way of looking at the probability constraints enforced by the fram...
Thomas B. Kane
TIT
2008
81views more  TIT 2008»
13 years 9 months ago
Lagrangian Vector Quantization With Combined Entropy and Codebook Size Constraints
Abstract--In this paper, the Lagrangian formulation of variablerate vector quantization is extended to quantization with simultaneous constraints on entropy and codebook size, incl...
Robert M. Gray, Tamás Linder, John T. Gill ...
ESCAPE
2007
Springer
266views Algorithms» more  ESCAPE 2007»
14 years 3 months ago
CR-precis: A Deterministic Summary Structure for Update Data Streams
We present deterministic sub-linear space algorithms for a number of problems over update data streams, including, estimating frequencies of items and ranges, finding approximate ...
Sumit Ganguly, Anirban Majumder