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» On the Learnability of Vector Spaces
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GIS
2006
ACM
15 years 10 months ago
Object localization based on directional information case of 2D vector data
If you were told that some object A was perfectly (or somewhat, or not at all) in some direction (e.g., west, above-right) of some reference object B, where in space would you loo...
Stelian Coros, JingBo Ni, Pascal Matsakis
ESWA
2007
127views more  ESWA 2007»
14 years 9 months ago
Clustering support vector machines for protein local structure prediction
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
DBISP2P
2005
Springer
172views Database» more  DBISP2P 2005»
15 years 3 months ago
A Content-Addressable Network for Similarity Search in Metric Spaces
In this paper we present a scalable and distributed access structure for similarity search in metric spaces. The approach is based on the Content– addressable Network (CAN) parad...
Fabrizio Falchi, Claudio Gennaro, Pavel Zezula
SODA
2010
ACM
704views Algorithms» more  SODA 2010»
15 years 7 months ago
A locality-sensitive hash for real vectors
We present a simple and practical algorithm for the c-approximate near neighbor problem (c-NN): given n points P Rd and radius R, build a data structure which, given q Rd , can ...
Tyler Neylon
ICAISC
2004
Springer
15 years 3 months ago
Visualization of Hidden Node Activity in Neural Networks: II. Application to RBF Networks
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
Wlodzislaw Duch