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» Mining compositional features for boosting
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ACL
2009
13 years 2 months ago
Generalizing Dependency Features for Opinion Mining
We explore how features based on syntactic dependency relations can be utilized to improve performance on opinion mining. Using a transformation of dependency relation triples, we...
Mahesh Joshi, Carolyn Penstein Rosé
CIKM
2009
Springer
13 years 11 months ago
Using opinion-based features to boost sentence retrieval
Opinion mining has become recently a major research topic. A wide range of techniques have been proposed to enable opinion-oriented information seeking systems. However, little is...
Ronald T. Fernández, David E. Losada
CVPR
2011
IEEE
13 years 7 days ago
Mining Discriminative Co-occurrence Patterns for Visual Recognition
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
Junsong Yuan, Ming Yang, Ying Wu
CVPR
2007
IEEE
14 years 6 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
NIPS
2003
13 years 6 months ago
Mutual Boosting for Contextual Inference
Mutual Boosting is a method aimed at incorporating contextual information to augment object detection. When multiple detectors of objects and parts are trained in parallel using A...
Michael Fink 0002, Pietro Perona