901 search results - page 8 / 181 » Feature versus model based noise robustness |
112
Voted
ECCV
2004
Springer
15 years 10 months ago
2004
Springer
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
81
Voted
IJIT
2004
14 years 11 months ago
2004
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
TIP
2008
14 years 9 months ago
2008
This paper addresses object tracking in ultrasound images using a robust multiple model tracker. The proposed tracker has the following features: 1) it uses multiple dynamic models...
84
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recently there have been a number of investigations into adaptive training, and estim...