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» Joint Inference in Information Extraction
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ACL
2006
13 years 9 months ago
Exact Decoding for Jointly Labeling and Chunking Sequences
There are two decoding algorithms essential to the area of natural language processing. One is the Viterbi algorithm for linear-chain models, such as HMMs or CRFs. The other is th...
Nobuyuki Shimizu, Andrew R. Haas
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
14 years 1 months ago
The Role of Motion Information in Learning Human-Robot Joint Attention
— To realize natural human-robot interactions and investigate the developmental mechanism of human communication, an effective approach is to construct models by which a robot im...
Yukie Nagai
ICASSP
2011
IEEE
12 years 11 months ago
Joint DOA and TDOA estimation for 3D localization of reflective surfaces using eigenbeam MVDR and spherical microphone arrays
Methods of 3D direction of arrival (DOA) estimation, coherent source detection and reflective surface localization are studied, based on recordings by a spherical microphone array...
Haohai Sun, Edwin Mabande, Konrad Kowalczyk, Walte...
ICPR
2004
IEEE
14 years 8 months ago
Image Analysis Through Local Information Measures
The properties of local image statistics are analyzed in a classic information theoretic setting. Local spatiochromatic image elements are projected into a space in which constitu...
Neil Bruce
JMLR
2010
105views more  JMLR 2010»
13 years 2 months ago
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
Many structured information extraction tasks employ collective graphical models that capture interinstance associativity by coupling them with various clique potentials. We propos...
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan