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220
Voted
JMLR
2002
15 years 7 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
244
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GECCO
2007
Springer
16 years 1 months ago
2007
Springer
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
194
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CORR
2007
Springer
15 years 7 months ago
2007
Springer
We present algorithms for the discrete cosine transform (DCT) and discrete sine transform (DST), of types II and III, that achieve a lower count of real multiplications and additi...
275
Voted
ISPDC
2008
IEEE
16 years 1 months ago
2008
IEEE
This paper presents a new approach for analyzing the performance of grid scheduling algorithms for tasks with dependencies. Finding the optimal procedures for DAG scheduling in Gr...
205
Voted
3DPVT
2002
IEEE
16 years 12 days 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...