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KDD
2005
ACM
168views Data Mining» more  KDD 2005»
14 years 9 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
STOC
2003
ACM
141views Algorithms» more  STOC 2003»
14 years 9 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy
SIGMOD
2006
ACM
125views Database» more  SIGMOD 2006»
14 years 9 months ago
A non-linear dimensionality-reduction technique for fast similarity search in large databases
To enable efficient similarity search in large databases, many indexing techniques use a linear transformation scheme to reduce dimensions and allow fast approximation. In this re...
Khanh Vu, Kien A. Hua, Hao Cheng, Sheau-Dong Lang
SIGMOD
2003
ACM
190views Database» more  SIGMOD 2003»
14 years 9 months ago
Hardware Acceleration for Spatial Selections and Joins
Spatial database operations are typically performed in two steps. In the filtering step, indexes and the minimum bounding rectangles (MBRs) of the objects are used to quickly dete...
Chengyu Sun, Divyakant Agrawal, Amr El Abbadi
ICIAP
2003
ACM
14 years 9 months ago
The mantis head camera (why the praying mantis is so good at catching its prey)
Inspired by the abilities of the praying mantis to judge distance to its prey before the strike by use of motionbased visually mediated odometry, we create miniature model for dep...
Igor Katsman, Ehud Rivlin