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JAIR
2007
159views more  JAIR 2007»
13 years 8 months ago
Combination Strategies for Semantic Role Labeling
This paper introduces and analyzes a battery of inference models for the problem of semantic role labeling: one based on constraint satisfaction, and several strategies that model...
Mihai Surdeanu, Lluís Màrquez, Xavie...
ECCV
2008
Springer
14 years 10 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
ECCV
2006
Springer
14 years 10 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss
ICML
2007
IEEE
14 years 9 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
ISCAS
2007
IEEE
125views Hardware» more  ISCAS 2007»
14 years 3 months ago
XML-driven Exploitation of Combined Scalability in Scalable H.264/AVC Bitstreams
— The heterogeneity in the contemporary multimedia environments requires a format-agnostic adaptation framework for the consumption of digital video content. Scalable bitstreams ...
Davy De Schrijver, Wesley De Neve, Koen De Wolf, P...