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» On distance and similarity in fold space
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ICONIP
2004
14 years 10 months ago
Non-linear Dimensionality Reduction by Locally Linear Isomaps
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee
75
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PUC
2008
106views more  PUC 2008»
14 years 9 months ago
Investigating five key predictive text entry with combined distance and keystroke modelling
This paper investigates text entry on mobile devices using only five-key. Primarily to support text entry on smaller devices than mobile phones, this method can also be used to max...
Mark D. Dunlop, Michelle Montgomery Masters
BIOINFORMATICS
2010
94views more  BIOINFORMATICS 2010»
14 years 9 months ago
Globally, unrelated protein sequences appear random
Motivation: To test whether protein folding constraints and secondary structure sequence preferences significantly reduce the space of amino acid words in proteins, we compared th...
Daniel T. Lavelle, William R. Pearson
CVPR
2006
IEEE
15 years 3 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
ICIP
2004
IEEE
15 years 11 months ago
A new palette histogram similarity measure for mpeg-7 dominant color descriptor
The MPEG-7 dominant color descriptor (DCD) is an effective, compact, and intuitive representation of salient colors in an image region and is very useful for contentbased image re...
Lai-Man Po, Ka-Man Wong