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» On Generalization by Neural Networks
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RAS
2007
113views more  RAS 2007»
15 years 6 months ago
Visual novelty detection with automatic scale selection
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two dif...
Hugo Vieira Neto, Ulrich Nehmzow
SIGIR
2011
ACM
14 years 9 months ago
Time-based query performance predictors
Query performance prediction is aimed at predicting the retrieval effectiveness that a query will achieve with respect to a particular ranking model. In this paper, we study quer...
Nattiya Kanhabua, Kjetil Nørvåg
IJCNN
2008
IEEE
16 years 1 months ago
Sparse support vector machines trained in the reduced empirical feature space
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
Kazuki Iwamura, Shigeo Abe
IJCNN
2007
IEEE
16 years 28 days ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio
IJCNN
2006
IEEE
16 years 20 days ago
Nonlinear Component Analysis Based on Correntropy
Abstract— In this paper, we propose a new nonlinear principal component analysis based on a generalized correlation function which we call correntropy. The data is nonlinearly tr...
Jian-Wu Xu, Puskal P. Pokharel, António R. ...