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» A New Indexing Method for High Dimensional Dataset
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EDBT
2009
ACM
184views Database» more  EDBT 2009»
16 years 12 days ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
ISBI
2004
IEEE
16 years 6 months ago
Vascular Segmentation in Three-Dimensional Rotational Angiography Based on Maximum Intensity Projections
Three-dimensional rotational angiography (3D-RA) is a relatively new and promising technique for imaging blood vessels. In this paper, we propose a novel 3D-RA vascular segmentati...
Rui Gan, Albert C. S. Chung, Wilbur C. K. Wong, Si...
125
Voted
ACL
2001
15 years 7 months ago
Low-cost, High-Performance Translation Retrieval: Dumber is Better
In this paper, we compare the relative effects of segment order, segmentation and segment contiguity on the retrieval performance of a translation memory system. We take a selecti...
Timothy Baldwin
191
Voted
ECAI
2010
Springer
15 years 3 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
VIS
2004
IEEE
187views Visualization» more  VIS 2004»
16 years 6 months ago
Methods for Efficient, High Quality Volume Resampling in the Frequency Domain
Resampling is a frequent task in visualization and medical imaging. It occurs whenever images or volumes are magnified, rotated, translated, or warped. Resampling is also an integ...
Aili Li, Klaus Mueller, Thomas Ernst