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» Extracting general-purpose features from LIDAR data
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IROS
2006
IEEE
148views Robotics» more  IROS 2006»
14 years 3 months ago
Environment Understanding: Robust Feature Extraction from Range Sensor Data
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Antonio Romeo, Luis Montano
ICASSP
2008
IEEE
14 years 4 months ago
Sparse and shift-invariant feature extraction from non-negative data
In this paper we describe a technique that allows the extraction of multiple local shift-invariant features from analysis of non-negative data of arbitrary dimensionality. Our app...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
ACL
2010
13 years 7 months ago
Arabic Named Entity Recognition: Using Features Extracted from Noisy Data
Building an accurate Named Entity Recognition (NER) system for languages with complex morphology is a challenging task. In this paper, we present research that explores the featur...
Yassine Benajiba, Imed Zitouni, Mona T. Diab, Paol...
CGF
2005
311views more  CGF 2005»
13 years 9 months ago
Cubical Marching Squares: Adaptive Feature Preserving Surface Extraction from Volume Data
In this paper, we present a new method for surface extraction from volume data which preserves sharp features, maintains consistent topology and generates surface adaptively witho...
Chien-Chang Ho, Fu-Che Wu, Bing-Yu Chen, Yung-Yu C...
ICPR
2000
IEEE
14 years 10 months ago
Robust Extraction of Text in Video
Despite advances in the archiving of digital video, we are still unable to efficiently search and retrieve the portions that interest us. Video indexing by shot segmentation has b...
Sameer Antani, David J. Crandall, Rangachar Kastur...