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» Relative Randomness and Cardinality
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TSMC
2002
110views more  TSMC 2002»
14 years 9 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
ISI
2010
Springer
14 years 8 months ago
Measuring behavioral trust in social networks
Abstract—Trust is an important yet complex and little understood dyadic relation among actors in a social network. There are many dimensions to trust; trust plays an important ro...
Sibel Adali, Robert Escriva, Mark K. Goldberg, Myk...
FLAIRS
2009
14 years 7 months ago
Training to a Neural Net's Inherent Bias
A neural net with multiple output nodes is capable of distinguishing among a set of related input classes even in the absence of training. It can do so with an accuracy that is ma...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
STOC
2009
ACM
271views Algorithms» more  STOC 2009»
15 years 10 months ago
A fast and efficient algorithm for low-rank approximation of a matrix
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
Nam H. Nguyen, Thong T. Do, Trac D. Tran
ECCV
2002
Springer
15 years 11 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs