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» Hierarchical sampling for active learning
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146
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ICPR
2004
IEEE
16 years 5 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
3DPVT
2006
IEEE
147views Visualization» more  3DPVT 2006»
15 years 10 months ago
Efficient Constraint Evaluation Algorithms for Hierarchical Next-Best-View Planning
We recently proposed a new and efficient next-bestview algorithm for 3D reconstruction of indoor scenes using active range sensing. We overcome the computation difficulty of evalu...
Kok-Lim Low, Anselmo Lastra
SIGIR
2004
ACM
15 years 9 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
148
Voted
ESANN
2006
15 years 5 months ago
Learning and discrimination through STDP in a top-down modulated associative memory
Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
Anthony Mouraud, Hélène Paugam-Moisy
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu