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ICASSP
2010
IEEE
13 years 10 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
ACL
2010
13 years 8 months ago
Hierarchical Search for Word Alignment
We present a simple yet powerful hierarchical search algorithm for automatic word alignment. Our algorithm induces a forest of alignments from which we can efficiently extract a r...
Jason Riesa, Daniel Marcu
CAIP
2007
Springer
150views Image Analysis» more  CAIP 2007»
14 years 4 months ago
Hierarchical Detection of Multiple Organs Using Boosted Features
Abstract. We propose a framework for fast and automated initialization of segmentation algorithms in Computed Tomography images. Based on the idea that time-consuming voxel classi...
Samuel Hugueny, Mikaël Rousson
ECCV
2010
Springer
13 years 10 months ago
Object Recognition with Hierarchical Stel Models
Abstract. We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment ...
Alessandro Perina, Nebojsa Jojic, Umberto Castella...
COLING
2010
13 years 4 months ago
Towards Automated Related Work Summarization
We introduce the novel problem of automatic related work summarization. Given multiple articles (e.g., conference/journal papers) as input, a related work summarization system cre...
Vu Cong Duy Hoang, Min-Yen Kan