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» A Framework for Multiple-Instance Learning
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ICML
2007
IEEE
16 years 5 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li
ICML
2007
IEEE
16 years 5 months ago
Infinite mixtures of trees
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
Sergey Kirshner, Padhraic Smyth
ICML
2008
IEEE
16 years 5 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
WWW
2007
ACM
16 years 5 months ago
Behavior based web page evaluation
This paper describes our efforts to investigate factors in user's browsing behavior to automatically evaluate web pages that the user shows interest in. To evaluate web pages...
Ganesan Velayathan, Seiji Yamada
ECAL
2007
Springer
15 years 10 months ago
Improving Agent Localisation Through Stereotypical Motion
Abstract. When bees and wasps leave the nest to forage, they perform orientation or learning flights. This behaviour includes a number of stereotyped flight manoeuvres mediating ...
Bart Baddeley, Andrew Philippides