7648 search results - page 102 / 1530 » A Data Locality Optimizing Algorithm |
ISBI
2009
IEEE
15 years 4 months ago
2009
IEEE
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
ICIP
2009
IEEE
15 years 11 months ago
2009
IEEE
We propose a new fibre tracking algorithm for cardiac DTMRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms. We formulate the...
ASPLOS
2010
ACM
15 years 4 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
AAIM
2007
Springer
15 years 1 months ago
2007
Springer
BitTorrent (BT) in practice is a very efficient method to share data over a network of clients. In this paper we extend the recent work of Arthur and Panigrahy [1] on modelling the...
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COMGEO
2004
ACM
14 years 9 months ago
2004
ACM
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...