1056 search results - page 79 / 212 » Accelerated Shift-and-Add Algorithms |
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
PKDD
2004
Springer
14 years 3 months ago
2004
Springer
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
3DPVT
2002
IEEE
14 years 3 months ago
2002
IEEE
The iterative closest point (ICP) algorithm is widely used for the registration of geometric data. One of its main drawbacks is its quadratic time complexity O(N2 ) with the shape...
APCCAS
2006
IEEE
14 years 4 days ago
2006
IEEE
- In this paper, the grouped scheme is specially applied to compute the fast Fourier transform (FFT) when the portions of transformed outputs are calculated selectively. The groupe...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...