1345 search results - page 65 / 269 » Efficient Learning of Relational Object Class Models |
110
Voted
BVAI
2007
Springer
15 years 6 months ago
2007
Springer
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
73
Voted
ICDM
2008
IEEE
15 years 7 months ago
2008
IEEE
The task of aligning sequences arises in many applications. Classical dynamic programming approaches require the explicit state enumeration in the reward model. This is often impr...
109
Voted
NN
2008
Springer
15 years 17 days ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
189
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SIGMOD
2007
ACM
16 years 23 days ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...