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IJON
2011
133views more  IJON 2011»
14 years 11 months ago
Relational generative topographic mapping
Abstract. The generative topographic mapping (GTM) has been proposed as a statistical model to represent high dimensional data by means of a sparse lattice of points in latent spac...
Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
MIA
2010
170views more  MIA 2010»
14 years 11 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
VLDB
2007
ACM
128views Database» more  VLDB 2007»
15 years 11 months ago
A genetic approach for random testing of database systems
Testing a database engine has been and continues to be a challenging task. The space of possible SQL queries along with their possible access paths is practically unbounded. Moreo...
Hardik Bati, Leo Giakoumakis, Steve Herbert, Aleks...
SIAMAM
2000
128views more  SIAMAM 2000»
15 years 4 months ago
Advection-Diffusion Equations for Internal State-Mediated Random Walks
Abstract. In many biological examples of biased random walks, movement statistics are determined by state dynamics that are internal to the organism or cell and that mediate respon...
Daniel Grünbaum
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 9 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...