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COLING
2000
13 years 9 months ago
Statistical Morphological Disambiguation for Agglutinative Languages
We present statistical models for morphological disambiguation in agglutinative languages, with a specific application to Turkish. Turkish presents an interesting problem for stati...
Dilek Z. Hakkani-Tür, Kemal Oflazer, Gök...
ICCV
2003
IEEE
14 years 9 months ago
Recognising Panoramas
The problem considered in this paper is the fully automatic construction of panoramas. Fundamentally, this problem requires recognition, as we need to know which parts of the pano...
Matthew Brown, David G. Lowe
ECCV
2010
Springer
12 years 2 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
IJON
2006
160views more  IJON 2006»
13 years 7 months ago
Attractor dynamics in a modular network model of the cerebral cortex
ional models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a s...
Mikael Lundqvist, Martin Rehn, Anders Lansner
ICDM
2007
IEEE
169views Data Mining» more  ICDM 2007»
13 years 11 months ago
Efficient Discovery of Frequent Approximate Sequential Patterns
We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu