fDate :
Aug. 29 2010-Sept. 1 2010
Abstract :
The following topics are dealt with: machine learning; signal processing; local dimensionality reduction; image resolution; visual object recognition; image segmentation; reinforcement learning; matrix factorization; bilingual sentence matching; Bayes learning; state space models; SVM; kNN; feature extraction; speech recognition and Kalman filtering.
Keywords :
learning (artificial intelligence); signal processing; Bayes learning; Kalman filtering; SVM; bilingual sentence matching; feature extraction; image resolution; image segmentation; kNN; local dimensionality reduction; machine learning; matrix factorization; reinforcement learning; signal processing; speech recognition; state space models; visual object recognition;
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on
Conference_Location :
Kittila
Print_ISBN :
978-1-4244-7875-0
Electronic_ISBN :
1551-2541
DOI :
10.1109/MLSP.2010.5589002
