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INTERSPEECH
2010
15 years 1 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
ECCV
2008
Springer
16 years 8 months ago
ASN: Image Keypoint Detection from Adaptive Shape Neighborhood
Abstract. We describe an accurate keypoint detector that is stable under viewpoint change. In this paper, keypoints correspond to actual junctions in the image. The principle of AS...
Jean-Nicolas Ouellet, Patrick Hébert
ICIP
2003
IEEE
16 years 7 months ago
Improving phase-unwrapping result of InSAR images by incorporating the fractal model
This paper presents a novel method to reduce the phaseunwrapping (PU) distortion by being based on twodimensional fractional Brownian motion (fBm) theory. The method incorporates ...
Andriyan Bayu Suksmono, Akira Hirose
ICASSP
2008
IEEE
16 years 22 days ago
Robust adaptive beamforming using sequential quadratic programming
In this paper, a new algorithm for robust adaptive beamforming is developed. The basic idea of the proposed algorithm is to estimate the difference between the actual and presumed...
Aboulnasr Hassanien, Sergiy A. Vorobyov, Kon Max W...
ICPR
2008
IEEE
16 years 21 days ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi