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» Learning Hierarchical Shape Models from Examples
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TCS
2008
13 years 10 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas
ICIP
1999
IEEE
14 years 11 months ago
Perceptual Grouping of 3-D Features in Aerial Image Using Decision Tree Classifier
We address a new perceptual grouping algorithmfor aerial images, which employs a decision tree classifier and hierarchical multilevel grouping strategy an a bottom-up fashion. In ...
In Kyu Park, Kyoung Mu Lee, Sang Uk Lee
TACS
2001
Springer
14 years 2 months ago
A Typed Process Calculus for Fine-Grained Resource Access Control in Distributed Computation
We propose the πD -calculus, a process calculus that can flexibly model fine-grained control of resource access in distributed computation, with a type system that statically pr...
Daisuke Hoshina, Eijiro Sumii, Akinori Yonezawa
MICCAI
2003
Springer
14 years 11 months ago
Establishing Local Correspondences towards Compact Representations of Anatomical Structures
Computer-aided diagnosis is often based on comparing a structure of interest with prior models. Such a comparison requires automatic techniques in determining prior models from a s...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
ICASSP
2010
IEEE
13 years 8 months ago
Multiple sequence alignment based bootstrapping for improved incremental word learning
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Irene Ayllól Clemente, Martin Heckmann, Ger...