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» Computing LTS Regression for Large Data Sets
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ACL
2009
15 years 3 months ago
Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few see...
Jing Jiang
ICCV
2009
IEEE
15 years 3 months ago
Efficient multi-label ranking for multi-class learning: Application to object recognition
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Ron...
CVPR
2011
IEEE
15 years 2 months ago
Face Recognition in Unconstrained Videos with Matched Background Similarity
Recognizing faces in unconstrained videos is a task of mounting importance. While obviously related to face recognition in still images, it has its own unique characteristics and ...
Lior Wolf, Tal Hassner, Itay Maoz
BALT
2006
15 years 9 months ago
Introducing Softness into Inductive Queries on String Databases
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
Ieva Mitasiunaite, Jean-François Boulicaut
ICCS
2007
Springer
16 years 4 days ago
Multilingual Interfaces for Parallel Coupling in Multiphysics and Multiscale Systems
Abstract. Multiphysics and multiscale simulation systems are emerging as a new grand challenge in computational science, largely because of increased computing power provided by th...
Everest T. Ong, Jay Walter Larson, Boyana Norris, ...