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» Automatic Learning for Semantic Collocation
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MICCAI
2009
Springer
14 years 9 months ago
Discriminative, Semantic Segmentation of Brain Tissue in MR Images
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
Zhao Yi, Antonio Criminisi, Jamie Shotton, Andr...
AND
2010
13 years 6 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
EPIA
2009
Springer
14 years 11 days ago
Semantic Image Search and Subset Selection for Classifier Training in Object Recognition
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
Rui Pereira, Luís Seabra Lopes, Augusto Sil...
ACSAC
2007
IEEE
14 years 2 months ago
Retrofitting the IBM POWER Hypervisor to Support Mandatory Access Control
Server virtualization more readily enables the collocation of disparate workloads on a shared physical platform. When employed on systems across a data center, the result can be a...
Enriquillo Valdez, Reiner Sailer, Ronald Perez
EMNLP
2008
13 years 10 months ago
A Japanese Predicate Argument Structure Analysis using Decision Lists
This paper describes a new automatic method for Japanese predicate argument structure analysis. The method learns relevant features to assign case roles to the argument of the tar...
Hirotoshi Taira, Sanae Fujita, Masaaki Nagata