30 search results - page 3 / 6 » Sub-Sampled Newton Methods I: Globally Convergent Algorithms |
JMLR
2008
13 years 8 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
JMIV
2007
13 years 8 months ago
2007
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
SIGGRAPH
1993
ACM
14 years 18 days ago
1993
ACM
We present an efficient and robust algorithm for finding points of collision between time-dependent parametric and implicit surfaces. The algorithm detects simultaneous collisio...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
SMA
2008
ACM
13 years 8 months ago
2008
ACM
Improving the quality of tetrahedral meshes is an important operation in many scientific computing applications. Meshes with badly shaped elements impact both the accuracy and con...