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» Evaluating algorithms that learn from data streams
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CIVR
2009
Springer
192views Image Analysis» more  CIVR 2009»
16 years 1 months ago
Example based video filters
Many of the successful multimedia retrieval systems focus on developing efficient and effective video retrieval solutions with the help of appropriate index structures. In these ...
Mihir Jain, Sreekanth Vempati, Chandrika Pulla, C....
NIPS
2004
15 years 8 months ago
Adaptive Manifold Learning
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
Jing Wang, Zhenyue Zhang, Hongyuan Zha
ISBI
2008
IEEE
16 years 7 months ago
Sparse representations for limited data tomography
In limited data tomography, with applications such as electron microscopy and medical imaging, the scanning views are within an angular range that is often both limited and sparse...
Hstau Y. Liao, Guillermo Sapiro
NAACL
2010
15 years 4 months ago
From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing
We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
CORR
2008
Springer
98views Education» more  CORR 2008»
15 years 6 months ago
Bayesian Optimisation Algorithm for Nurse Scheduling
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
Jingpeng Li, Uwe Aickelin