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» On Inferences of Full Hierarchical Dependencies
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IJON
2010
189views more  IJON 2010»
13 years 3 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
CVPR
2007
IEEE
14 years 7 months ago
Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy
In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu,...
BMCBI
2010
146views more  BMCBI 2010»
13 years 5 months ago
On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference
Background: Transcriptional regulatory network inference (TRNI) from large compendia of DNA microarrays has become a fundamental approach for discovering transcription factor (TF)...
Elissa J. Cosgrove, Timothy S. Gardner, Eric D. Ko...
ICIP
2007
IEEE
14 years 6 months ago
Object Recognition Based on Dependent Pachinko Allocation Model
Recently the "bag of words" model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called "...
Yuanning Li, Weiqiang Wang, Wen Gao
ALT
2004
Springer
14 years 1 months ago
Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
Steffen Lange, Sandra Zilles