155 search results - page 9 / 31 » On global and local convergence of half-quadratic algorithms |
AROBOTS
2002
13 years 7 months ago
2002
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
CDC
2009
IEEE
13 years 5 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
JCM
2006
13 years 7 months ago
2006
Decentralized sensor networks are collections of individual local sensors that observe a common phenomenon, quantize their observations, and send this quantized information to a ce...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
AMC
2007
13 years 7 months ago
2007
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...