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» Mutual Boosting for Contextual Inference
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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
CVPR
2005
IEEE
14 years 6 months ago
Fast Spatial Pattern Discovery Integrating Boosting with Constellations of Contextual Descriptors
We present a novel approach for fast object class recognition incorporating contextual information into boosting. The object is represented as a constellation of generalized corre...
Jaume Amores, Nicu Sebe, Petia Radeva
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
13 years 10 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
NIPS
2004
13 years 6 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
DLOG
2007
13 years 7 months ago
Contextualization of a DL Knowledge Base
Abstract. In the paper we propose a method of structuring a knowledge base into hierarchically related contexts and present how this arrangement influences the structure of TBox a...
Krzysztof Goczyla, Wojciech Waloszek, Aleksander W...