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NN
2000
Springer
167views Neural Networks» more  NN 2000»
15 years 7 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori
BC
1999
100views more  BC 1999»
15 years 7 months ago
A mathematical model of the adaptive control of human arm motions
Abstract. This paper discusses similarities between models of adaptive motor control suggested by recent experiments with human and animal subjects, and the structure of a new cont...
Robert M. Sanner, Makiko Kosha
ACL
2010
15 years 5 months ago
Domain Adaptation of Maximum Entropy Language Models
We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written la...
Tanel Alumäe, Mikko Kurimo
IEEEPACT
2009
IEEE
15 years 5 months ago
Adaptive Locks: Combining Transactions and Locks for Efficient Concurrency
Transactional memory is being advanced as an alternative to traditional lock-based synchronization for concurrent programming. Transactional memory simplifies the programming mode...
Takayuki Usui, Reimer Behrends, Jacob Evans, Yanni...

Publication
468views
15 years 4 months ago
Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR)
When appearance variation of object and its background, partial occlusion or deterioration in object images occurs, most existing visual tracking methods tend to fail in tracking ...
Zhenjun Han, Jianbin Jiao, Baochang Zhang, Qixiang...