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KDD
2004
ACM
163views Data Mining» more  KDD 2004»
16 years 6 days ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
PAMI
2002
201views more  PAMI 2002»
14 years 11 months ago
ICP Registration Using Invariant Features
This paper investigates the use of Euclidean invariant features in a generalization of iterative closest point registration of range images. Pointwisecorrespondences are chosen as...
Gregory C. Sharp, Sang Wook Lee, David K. Wehe
PR
2008
173views more  PR 2008»
14 years 11 months ago
Object recognition using a generalized robust invariant feature and Gestalt's law of proximity and similarity
In this paper, we propose a new context-based method for object recognition. We first introduce a neuro-physiologically motivated visual part detector. We found that the optimal f...
Sungho Kim, Kuk-Jin Yoon, In-So Kweon
ECCV
2008
Springer
16 years 1 months ago
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown...
Douglas Gray, Hai Tao
3DIM
2011
IEEE
13 years 11 months ago
Finding the Best Feature Detector-Descriptor Combination
Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of w...
Anders Lindbjerg Dahl, Henrik Aanæs, Kim Ste...