5771 search results - page 135 / 1155 » Learning similarity space |
104
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...
99
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ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
118
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
122
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MICCAI
2004
Springer
16 years 1 months ago
2004
Springer
We propose a new voxel similarity measure which utilises local image structure as well intensity information. Gaussian scale space derivatives are used to provide the structural in...
ICML
2002
IEEE
16 years 1 months ago
2002
IEEE
The application of kernel-based learning algorithms has, so far, largely been confined to realvalued data and a few special data types, such as strings. In this paper we propose a...