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ECML
2003
Springer
15 years 3 months ago
Ensembles of Multi-instance Learners
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
Zhi-Hua Zhou, Min-Ling Zhang
ICASSP
2010
IEEE
14 years 10 months ago
MMSE based noise PSD tracking with low complexity
Most speech enhancement algorithms heavily depend on the noise power spectral density (PSD). Because this quantity is unknown in practice, estimation from the noisy data is necess...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
CG
2005
Springer
14 years 10 months ago
A hierarchical sampling approach for polygonizing variational implicit surfaces
This article discusses an enhanced polygonization algorithm for variational implicit surfaces. The polygonization scheme is a simple hierarchical adaptation of the Marching Cubes ...
Alvaro Cuno, Claudio Esperança, Antonio A. ...
ICASSP
2010
IEEE
14 years 8 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern
68
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BIOCOMP
2008
14 years 11 months ago
Identifying Protein Flexibility by NMA
- Here proposed apriori method for identification of protein flexibility relies on one end-state conformation of the protein. This method has comparative advantage over many others...
Kresimir Sikic, Branko Jeren, Sanja Tomic