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TSP
2008
121views more  TSP 2008»
13 years 10 months ago
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
Neil J. Bershad, José Carlos M. Bermudez, J...
ATAL
2009
Springer
14 years 4 months ago
Towards multi-level modeling of self-assembling intelligent micro-systems
We investigate and model the dynamics of two-dimensional stochastic self-assembly of intelligent micro-systems with minimal requirements in terms of sensing, actuation, and contro...
Grégory Mermoud, Juergen Brugger, Alcherio ...
PAMI
2007
194views more  PAMI 2007»
13 years 9 months ago
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Datong Chen, Jie Yang
ICML
2010
IEEE
13 years 11 months ago
Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
Nicholas Bartlett, David Pfau, Frank Wood
UAI
2000
13 years 11 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson