202 search results - page 9 / 41 » How Local Should a Learning Method Be |
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
AbstractThis paper presents a real-coded memetic algorithm that combines a high diversity global exploration with an adaptive local search method to the most promising individuals ...
NIPS
2004
13 years 8 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
PUK
2000
13 years 8 months ago
2000
Abstract. In the stream of research that aims to speed up practical planners, we propose a new approach to task planning based on Probabilistic Roadmap Methods (PRM). Our contribut...
ICCAD
1997
IEEE
13 years 11 months ago
1997
IEEE
An algorithm that remains in use at the core of many partitioning systems is the Kernighan-Lin algorithm and a variant the Fidducia-Matheysses (FM) algorithm. To understand the FM...
CVPR
2010
IEEE
2010
IEEE
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
14 years 3 months ago
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...