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» A Quality Model for Evaluating Feature Models
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ECCV
2010
Springer
15 years 9 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
ICCV
2007
IEEE
16 years 5 months ago
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
François Le Clerc, Lionel Oisel, Patrick P&...
LREC
2010
174views Education» more  LREC 2010»
15 years 5 months ago
Model Summaries for Location-related Images
At present there is no publicly available data set to evaluate the performance of different summarization systems on the task of generating location-related extended image caption...
Ahmet Aker, Robert J. Gaizauskas
ISCIS
2003
Springer
15 years 9 months ago
Comparison of Feature Sets Using Multimedia Translation
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Pinar Duygulu, Özge Can Özcanli, Norman ...
COLING
2010
14 years 10 months ago
TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
Hector Llorens, Estela Saquete, Borja Navarro-Colo...