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ICMLA
2010
15 years 4 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
CVPR
2005
IEEE
16 years 8 months ago
Tangent-Corrected Embedding
Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one that corresponds to the degrees of freedom of the camera). Recently,...
Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale ...
CVPR
2008
IEEE
16 years 8 months ago
In defense of Nearest-Neighbor based image classification
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric Nearest-Neighbor (NN) based imag...
Oren Boiman, Eli Shechtman, Michal Irani
ICCAD
2003
IEEE
117views Hardware» more  ICCAD 2003»
16 years 3 months ago
On Whitespace and Stability in Mixed-Size Placement and Physical Synthesis
In the context of physical synthesis, large-scale standard-cell placement algorithms must facilitate incremental changes to layout, both local and global. In particular, flexible...
Saurabh N. Adya, Igor L. Markov, Paul Villarrubia
CVPR
2010
IEEE
16 years 2 months ago
Geodesic Graph Cut for Interactive Image Segmentation
Interactive segmentation is useful for selecting objects of interest in images and continues to be a topic of much study. Methods that grow regions from foreground/background seed...
Brian Price, Bryan Morse, Scott Cohen