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ICASSP
2009
IEEE
15 years 10 months ago
A fast feature extraction method
A fast subspace analysis and feature extraction algorithm is proposed which is based on fast Haar transform and integral vector. In rapid object detection and conventional binary ...
Jing Pan, Yanwei Pang, Xuelong Li, Yuan Yuan, Dach...
CMG
2006
15 years 7 months ago
Evaluation and comparison of search engines using the LSP method
We present a comprehensive model for quantitative evaluation and comparison of search engines. The model is based on the LSP method for system evaluation. The basic contribution of...
Jozo J. Dujmovic, Haishi Bai
CORR
2006
Springer
109views Education» more  CORR 2006»
15 years 6 months ago
Decision Making with Side Information and Unbounded Loss Functions
We consider the problem of decision-making with side information and unbounded loss functions. Inspired by probably approximately correct learning model, we use a slightly differe...
Majid Fozunbal, Ton Kalker
PR
2010
156views more  PR 2010»
15 years 4 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
CVPR
2007
IEEE
16 years 8 months ago
Variational Bayes Based Approach to Robust Subspace Learning
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
Takayuki Okatani, Koichiro Deguchi