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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
14 years 9 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
ICPR
2006
IEEE
14 years 10 months ago
Estimating the Optimal Quantization Parameter in H.264
The quantization parameter (QP) has a very important impact on the compression rate in H.264. In this paper we show that in order to achieve efficient rate-control coding a good e...
Attila Licsár, Gergely Császá...
DAGM
2005
Springer
14 years 2 months ago
A Fast Algorithm for Statistically Optimized Orientation Estimation
Filtering a signal with a finite impulse response (FIR) filter introduces dependencies between the errors in the filtered image due to overlapping filter masks. If the filteri...
Matthias Mühlich, Rudolf Mester
MICCAI
2005
Springer
14 years 9 months ago
Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy
Deforming a digital atlas towards a patient image allows the simultaneous segmentation of several structures. Such an intersubject registration is difficult as the deformations to ...
Grégoire Malandain, Nicholas Ayache, Olivie...
ISMB
1993
13 years 10 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...