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CIB
2005
41views more  CIB 2005»
13 years 7 months ago
A Partial-Repeatability Approach to Data Mining
Unlike the data approached in traditional data mining activities, software data are featured with partial-repeatability or parepeatics, which is an invariant property that can neit...
Kai-Yuan Cai, Yunfei Yin, Shichao Zhang
ICCV
2007
IEEE
14 years 9 months ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan
AVBPA
2005
Springer
279views Biometrics» more  AVBPA 2005»
14 years 29 days ago
Active Shape Models with Invariant Optimal Features (IOF-ASMs)
Abstract. This paper is framed in the field of statistical face analysis. In particular, the problem of accurate segmentation of prominent features of the face in frontal view ima...
Federico Sukno, Sebastián Ordas, Constantin...
TACAS
2000
Springer
151views Algorithms» more  TACAS 2000»
13 years 11 months ago
Salsa: Combining Constraint Solvers with BDDs for Automatic Invariant Checking
Salsa is an invariant checker for speci cations in SAL the SCR Abstract Language. To establish a formula as an invariant without any user guidance Salsa carries out an induction pr...
Ramesh Bharadwaj, Steve Sims
CVPR
2010
IEEE
13 years 9 months ago
Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction in Complex Scenes
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among many difficulties, problems caused by illuminatio...
Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matt...