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» Learning Mid-Level Features For Recognition
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EUROCAST
2003
Springer
108views Hardware» more  EUROCAST 2003»
14 years 24 days ago
Fast Entropy-Based Nonrigid Registration
Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
Eduardo Suárez, Jose Aurelio Santana, Eduar...
EMNLP
2006
13 years 9 months ago
Automatic classification of citation function
The automatic recognition of the rhetorical function of citations in scientific text has many applications, from improvement of impact factor calculations to text summarisation an...
Simone Teufel, Advaith Siddharthan, Dan Tidhar
NIPS
2004
13 years 9 months ago
Semi-Markov Conditional Random Fields for Information Extraction
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
Sunita Sarawagi, William W. Cohen
ECCV
2008
Springer
13 years 8 months ago
Multi-thread Parsing for Recognizing Complex Events in Videos
This paper presents a probabilistic grammar approach to the recognition of complex events in videos. Firstly, based on the original motion features, a rule induction algorithm is a...
Zhang Zhang, Kaiqi Huang, Tieniu Tan
IJON
2006
109views more  IJON 2006»
13 years 7 months ago
Associative memory of connectivity patterns
The goal of the visual correspondence problem is to establish a connectivity pattern (a mapping) between two images such that features projected from the same scene point are conn...
Junmei Zhu, Christoph von der Malsburg