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» Robust Feature Selection Algorithms
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ECCV
2010
Springer
13 years 10 months ago
Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization
Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples ...
Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, ...
CVPR
2007
IEEE
14 years 11 months ago
Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segm...
Thomas Pock, Christopher Zach, Horst Bischof
INTERSPEECH
2010
13 years 4 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
INTERSPEECH
2010
13 years 4 months ago
Nonlinear enhancement of onset for robust speech recognition
In this paper we present a novel algorithm called Suppression of Slowly-varying components and the Falling edge of the power envelope (SSF) to enhance spectral features for robust...
Chanwoo Kim, Richard M. Stern
ADBIS
2004
Springer
134views Database» more  ADBIS 2004»
14 years 2 months ago
Retrieval by Color Features in Image Databases
What is presented in this paper is our work in the area of image organization and retrieval in Image Databases using global color features and spatial color distribution of images....
Irena Valova, Boris Rachev