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» Robust Bayesian Mixture Modelling
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112
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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
14 years 11 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
15 years 7 months ago
Unsupervised body scheme learning through self-perception
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Jürgen Sturm, Christian Plagemann, Wolfram Bu...
101
Voted
ICCV
2003
IEEE
15 years 6 months ago
Active Concept Learning for Image Retrieval in Dynamic Databases
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
Anlei Dong, Bir Bhanu
99
Voted
WIMOB
2008
IEEE
15 years 7 months ago
A Moderate to Robust Game Theoretical Model for Intrusion Detection in MANETs
—One popular solution for reducing the resource consumption of Intrusion Detection System (IDS) in MANET is to elect a head-cluster (leader) to provide intrusion detection servic...
Hadi Otrok, Noman Mohammed, Lingyu Wang, Mourad De...
121
Voted
SSIAI
2000
IEEE
15 years 5 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal