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» Group-based learning: a boosting approach
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CVPR
2010
IEEE
15 years 5 months ago
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
Michael Bronstein, Alexander Bronstein, Nikos Para...
CEE
2011
106views more  CEE 2011»
14 years 1 months ago
LLACA: An adaptive localized clustering algorithm for wireless ad hoc networks
  Performance  of  ad  hoc  networks  dramatically  declines  as  network  grows.  Cluster  formation  in  which  the  network  hosts  are  hierarchically  part...
Javad Akbari Torkestani, Mohammad Reza Meybodi
ICPR
2004
IEEE
15 years 10 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ECML
2006
Springer
15 years 1 months ago
TildeCRF: Conditional Random Fields for Logical Sequences
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
Bernd Gutmann, Kristian Kersting
85
Voted
EMNLP
2004
14 years 11 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag