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» On Risky Methods for Local Selection under Noise
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IEAAIE
2004
Springer
15 years 5 months ago
A New Edge-Grouping Algorithm for Multiple Complex Objects Localization
We present a new algorithm that provides an efficient localization method of elliptic industrial objects. Our proposed feature extraction inherits edge grouping approaches. But ins...
Yuichi Motai
90
Voted
SAC
2010
ACM
14 years 12 months ago
Visual processing-inspired fern-audio features for noise-robust speaker verification
In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral v...
Anindya Roy, Sébastien Marcel
ICPR
2006
IEEE
16 years 23 days ago
Adaptive Weighting of Local Classifiers by Particle Filter
This paper presents adaptive weighting method for combining local classifiers by particle filter. In recent years, the effectiveness of combination of local classifiers (features)...
Kazuhiro Hotta
109
Voted
ISITA
2010
14 years 9 months ago
Spectral entropy-based bit allocation
In transform-based compression schemes, the task of choosing, quantizing, and coding the coefficients that best represent a signal is of prime importance. As a step in this directi...
Malavika Bhaskaranand, Jerry D. Gibson
116
Voted
BMVC
2010
14 years 9 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata