63 search results - page 10 / 13 » Adaptive Subgradient Methods for Online Learning and Stochas... |
ATAL
2004
Springer
14 years 27 days ago
2004
Springer
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...
24
Voted
ESANN
2006
13 years 9 months ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
CRV
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...