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» Feature versus model based noise robustness
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ECCV
2006
Springer
14 years 9 months ago
An Intensity Similarity Measure in Low-Light Conditions
In low-light conditions, it is known that Poisson noise and quantization noise become dominant sources of noise. While intensity difference is usually measured by Euclidean distanc...
François Alter, Yasuyuki Matsushita, Xiaoou...
TIP
2008
142views more  TIP 2008»
13 years 7 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
ICASSP
2009
IEEE
14 years 2 months ago
Extended VTS for noise-robust speech recognition
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
Rogier C. van Dalen, Mark J. F. Gales
INFORMATICALT
2010
107views more  INFORMATICALT 2010»
13 years 6 months ago
Optimization of Formant Feature Based Speech Recognition
The paper deals with the use of formant features in dynamic time warping based speech recognition. These features can be simply visualized and give a new insight into understanding...
Antanas Lipeika
ICIP
2009
IEEE
14 years 8 months ago
Robust Visual Tracking Based On Simplified Biologically Inspired Features
We address the problem of robust appearance-based visual tracking. First, a set of simplified biologically inspired features (SBIF) is proposed for object representation and the B...