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» Improving DPOP with function filtering
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ICML
2007
IEEE
14 years 6 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
ICIP
2005
IEEE
13 years 11 months ago
Improving particle filter with support vector regression for efficient visual tracking
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
Guangyu Zhu, Dawei Liang, Yang Liu, Qingming Huang...
ESA
2006
Springer
134views Algorithms» more  ESA 2006»
13 years 9 months ago
An Improved Construction for Counting Bloom Filters
A counting Bloom filter (CBF) generalizes a Bloom filter data structure so as to allow membership queries on a set that can be changing dynamically via insertions and deletions. As...
Flavio Bonomi, Michael Mitzenmacher, Rina Panigrah...
VLSID
2004
IEEE
111views VLSI» more  VLSID 2004»
14 years 5 months ago
Improved Approach for Noise Propagation to Identify Functional Noise Violations
This paper targets at reducing the crosstalk noise closure time by filtering the set of false violations. We propose two approaches to reduce the pessimism in the crosstalk noise ...
Sachin Shrivastava, Dhanoop Varghese, Vikas Narang...
CRYPTO
2004
Springer
154views Cryptology» more  CRYPTO 2004»
13 years 10 months ago
An Improved Correlation Attack Against Irregular Clocked and Filtered Keystream Generators
Abstract. In this paper we propose a new key recovery attack on irregular clocked keystream generators where the stream is filtered by a nonlinear Boolean function. We show that t...
Håvard Molland, Tor Helleseth