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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 6 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
KDD
1999
ACM
104views Data Mining» more  KDD 1999»
15 years 8 months ago
Learning Rules from Distributed Data
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowye...
LREC
2010
178views Education» more  LREC 2010»
15 years 5 months ago
Data Issues in English-to-Hindi Machine Translation
Statistical machine translation to morphologically richer languages is a challenging task and more so if the source and target languages differ in word order. Current state-of-the...
Ondrej Bojar, Pavel Stranák, Daniel Zeman
ICPR
2004
IEEE
16 years 5 months ago
Parallelizing Motion Segmentation by Perceptual Organization of XYT
The front end of many motion analysis algorithms is usually a process that generates bounding boxes around each moving object, roughly segmenting the objects from the background. ...
Daniel Majchrzak, Sudeep Sarkar
ISBI
2004
IEEE
16 years 5 months ago
On the Regularization of SENSE and Space-RIP in Parallel MR Imaging
Parallel imaging methods provide accelerated multiple coil MR image acquisitions via reconstruction of sub-sampled kspace data. Currently, analytic comparison between different re...
William Scott Hoge, Bruno Madore, Walid E. Kyriako...