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PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
14 years 12 days 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
CEC
2008
IEEE
13 years 9 months ago
Learning defect classifiers for visual inspection images by neuro-evolution using weakly labelled training data
This article presents results from experiments where a detector for defects in visual inspection images was learned from scratch by EANT2, a method for evolutionary reinforcement l...
Nils T. Siebel, Gerald Sommer
CORR
2011
Springer
222views Education» more  CORR 2011»
12 years 11 months ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
GLVLSI
2006
IEEE
98views VLSI» more  GLVLSI 2006»
14 years 1 months ago
Rapid intermodulation distortion estimation in fully balanced weakly nonlinear Gm-C filters using state-space modeling
State-space modeling of fully differential Gm-C filters with weak nonlinearities is used to develop a fast algorithm for intermodulation distortion estimation. It results in sim...
Paul Sotiriadis, Abdullah Celik, Zhaonian Zhang
WETICE
2006
IEEE
14 years 1 months ago
Co-Presence Communities: Using Pervasive Computing to Support Weak Social Networks
Although the strongest social relationships feature most prominently in our lives, we also maintain a multitude of much weaker connections: the distant colleagues that we share a ...
Jamie Lawrence, Terry R. Payne, David De Roure