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» A framework for testing DBMS features
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FLAIRS
2010
13 years 11 months ago
Visual Object Detection using Frequent Pattern Mining
Object search in a visual scene is a highly challenging and computationally intensive task. Most of the current object detection techniques extract features from images for classi...
Yousuf Aboobaker Sait, Balaraman Ravindran
SCIA
2009
Springer
199views Image Analysis» more  SCIA 2009»
14 years 3 months ago
Appearance Based Extraction of Planar Structure in Monocular SLAM
This paper concerns the building of enhanced scene maps during real-time monocular SLAM. Specifically, we present a novel algorithm for detecting and estimating planar structure i...
José Martínez-Carranza, Andrew Calwa...
IJCV
2006
165views more  IJCV 2006»
13 years 9 months ago
A Critical View of Context
In this study, a discriminative detector for object context is designed and tested. The context-feature is simple to implement, feed-forward, and effective across multiple object t...
Lior Wolf, Stanley M. Bileschi
AICOM
2002
96views more  AICOM 2002»
13 years 9 months ago
Comparing environments for developing software agents
In the last years, dozens of environments for modeling, testing and finally implementing multi-agent systems have been developed. Unfortunately, no standard criteria for understand...
Thomas Eiter, Viviana Mascardi
CVPR
2005
IEEE
14 years 11 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...