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ICPR
2010
IEEE
15 years 4 months ago
A Re-evaluation of Pedestrian Detection on Riemannian Manifolds
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
Diego Tosato, Michela Farenzena, Marco Cristani, V...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 12 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICCV
2005
IEEE
16 years 8 months ago
Neighborhood Preserving Embedding
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...
ICDE
2009
IEEE
129views Database» more  ICDE 2009»
16 years 8 months ago
Computing Distance Histograms Efficiently in Scientific Databases
Abstract-- Particle simulation has become an important research tool in many scientific and engineering fields. Data generated by such simulations impose great challenges to databa...
Yi-Cheng Tu, Shaoping Chen, Sagar Pandit
ISBI
2008
IEEE
16 years 7 months ago
A landmark-based nonlinear elasticity model for mouse atlas registration
This paper is devoted to the registration of gene expression data to a neuroanatomical mouse atlas in two dimensions. We use a nonlinear elasticity regularization allowing large d...
Tungyou Lin, Erh-Fang Lee, Ivo D. Dinov, Carole Le...