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» Using Gaussian Processes to Optimize Expensive Functions
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ICIP
2001
IEEE
16 years 2 months ago
A comparison of discrete and continuous output modeling techniques for a pseudo-2D hidden Markov model face recognition system
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
Frank Wallhoff, Stefan Eickeler, Gerhard Rigoll
CVPR
2012
IEEE
13 years 3 months ago
Spherical hashing
Many binary code encoding schemes based on hashing have been actively studied recently, since they can provide efficient similarity search, especially nearest neighbor search, an...
Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Ch...
STOC
1999
ACM
104views Algorithms» more  STOC 1999»
15 years 5 months ago
Fast Approximate PCPs
We investigate the question of when a prover can aid a verifier to reliably compute a function faster than if the verifier were to compute the function on its own. Our focus is ...
Funda Ergün, Ravi Kumar, Ronitt Rubinfeld
RECOMB
2002
Springer
16 years 1 months ago
A bayesian approach to transcript estimation from gene array data: the BEAM technique
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...
ISBI
2007
IEEE
15 years 7 months ago
Sub-Resolution Maximum-Likelihood Based Localization of Fluorescent Nanoparticles in Three Dimensions
Several recent studies have shown that fluorescent particles can be localized with an accuracy that is well beyond traditional resolution limits. Using a theoretical model of the...
François Aguet, Dimitri Van De Ville, Micha...