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ACL
2009
15 years 3 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
ICPR
2006
IEEE
16 years 7 months ago
Automatic Detection of Song Changes in Music Mixes Using Stochastic Models
The annotation of song changes in music mixes created by DJs or radio stations for direct access in digital recordings is, usually, a very tedious work. In order to support this p...
Gernot A. Fink, Henner Sudek, Kai Lienemann, Lars ...
AIME
2005
Springer
15 years 11 months ago
Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines
Evidence-based clinical guidelines require frequent updates due to research and technology advances. The quality of guideline updates can be improved if the knowledge underlying th...
Radu Serban, Annette ten Teije, Frank van Harmelen...
TASLP
2008
133views more  TASLP 2008»
15 years 4 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
IPMI
2001
Springer
16 years 6 months ago
Partial Volume Segmentation of Cerebral MRI Scans with Mixture Model Clustering
A mixture model clustering algorithm is presented for robust MRI brain image segmentation in the presence of partial volume averaging. The method uses additional classes to represe...
Aljaz Noe, James C. Gee