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» Learning Hierarchical Shape Models from Examples
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TCS
2008
15 years 2 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
134
Voted
ICIP
1999
IEEE
16 years 4 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
123
Voted
TACS
2001
Springer
15 years 6 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
136
Voted
MICCAI
2003
Springer
16 years 3 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
138
Voted
ICASSP
2010
IEEE
15 years 29 days 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...