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» Learning for Semantic Parsing
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111
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ICASSP
2010
IEEE
15 years 3 months ago
Detecting local semantic concepts in environmental sounds using Markov model based clustering
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui
121
Voted
EMNLP
2008
15 years 4 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
135
Voted
ICCV
2009
IEEE
16 years 7 months ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...
123
Voted
CVPR
2010
IEEE
15 years 11 months ago
Locally-Parametric Pictorial Structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
128
Voted
CVPR
2010
IEEE
15 years 10 months ago
Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection
We propose Recursive Compositional Models (RCMs) for simultaneous multi-view multi-object detection and parsing (e.g. view estimation and determining the positions of the object s...
Leo Zhu, Yuanhao Chen, Antonio Torralba, William F...