6202 search results - page 27 / 1241 » Without Loss of Generality |
CVPR
2012
IEEE
13 years 10 days ago
2012
IEEE
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
ISBI
2006
IEEE
15 years 10 months ago
2006
IEEE
We compare two methods for assessing the performance of groupwise non-rigid registration algorithms. One approach, which has been described previously, utilizes a measure of overl...
SIGMOD
1999
ACM
15 years 2 months ago
1999
ACM
In this paper, we introduce self-tuning histograms. Although similar in structure to traditional histograms, these histograms infer data distributions not by examining the data or...
NIPS
2008
14 years 11 months ago
2008
We propose a general method called truncated gradient to induce sparsity in the weights of onlinelearning algorithms with convex loss functions. This method has several essential ...
IPM
2008
14 years 10 months ago
2008
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...