DAGM
2008
Springer
14 years 1 months ago
2008
Springer
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
DAGM
2008
Springer
14 years 1 months ago
2008
Springer
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
DAGM
2008
Springer
14 years 1 months ago
2008
Springer
Abstract. High-speed image measurements of fluid flows define an important field of research in experimental fluid mechanics and the related industry. Numerous competing methods ha...
DAGM
2008
Springer
14 years 1 months ago
2008
Springer
DAGM
2008
Springer
14 years 1 months ago
2008
Springer
Abstract. Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for so...
DAGM
2008
Springer
14 years 1 months ago
2008
Springer
This work focuses on tomographic image reconstruction in experimental fluid mechanics (TomoPIV), a recently established 3D particle image velocimetry technique. Corresponding 2D im...
DAGM
2008
Springer
14 years 1 months ago
2008
Springer
Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We compare two different Kalman fi...
DAGM
2008
Springer
14 years 1 months ago
2008
Springer
Abstract. Body scanners offer significant potential for use in many applications like clothing industry, orthopedy, surgery, healthcare, monument conservation, art, as well as film...
DAGM
2008
Springer
14 years 1 months ago
2008
Springer
Abstract. In this work, we propose a model-based approach for estimating the 3D position and orientation of a dummy's head for crash test video analysis. Instead of relying on...
DAGM
2008
Springer
14 years 1 months ago
2008
Springer
The total variation (TV) measure is a key concept in the field of variational image analysis. Introduced by Rudin, Osher and Fatemi in connection with image denoising, it also prov...