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CVPR
2008
IEEE
16 years 9 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
GVD
2009
128views Database» more  GVD 2009»
15 years 4 months ago
A Self-Adaptive Insert Strategy for Content-Based Multidimensional Database Storage
In this paper, we present the current development progress of our dynamic insert strategy based on the Intelligent Cluster Index (ICIx), which is a new type of multidimensional da...
Sebastian Leuoth, Wolfgang Benn
ICML
2008
IEEE
16 years 7 months ago
Hierarchical sampling for active learning
We present an active learning scheme that exploits cluster structure in data.
Sanjoy Dasgupta, Daniel Hsu
DIS
2009
Springer
16 years 1 months ago
The Two Faces of Active Learning
We present an active learning scheme that exploits cluster structure in data.
Sanjoy Dasgupta
ICTAI
2005
IEEE
16 years 19 days ago
Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
Andrew Vande Moere, Justin James Clayden