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» Probabilistic topic modeling for genomic data interpretation
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ECML
2001
Springer
15 years 1 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
MA
2010
Springer
104views Communications» more  MA 2010»
14 years 7 months ago
Representations of SO(3) and angular polyspectra
We characterize the angular polyspectra, of arbitrary order, associated with isotropic fields defined on the sphere S2 = (x, y, z) : x2 + y2 + z2 = 1 . Our techniques rely heavi...
D. Marinucci, G. Peccati
ADHOCNOW
2005
Springer
15 years 3 months ago
Probability Distributions for Channel Utilisation
Sensor nets have many undisputed fields of application. A paradigm of communication is the use of one control channel in the MAC layer. We challenge this paradigm for nodes with v...
Christian Schindelhauer, Kerstin Voß
IJCAI
2007
14 years 11 months ago
Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
Shin-ichi Minato, Ken Satoh, Taisuke Sato
CVPR
2008
IEEE
15 years 11 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen