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» Intrinsic Geometries in Learning
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CVPR
2007
IEEE
16 years 8 months ago
Human Detection via Classification on Riemannian Manifolds
We present a new algorithm to detect humans in still images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, well known m...
Oncel Tuzel, Fatih Porikli, Peter Meer
ECCV
2004
Springer
16 years 8 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
MICCAI
2009
Springer
16 years 7 months ago
Task-Optimal Registration Cost Functions
Abstract. In this paper, we propose a framework for learning the parameters of registration cost functions ? such as the tradeoff between the regularization and image similiarity t...
B. T. Thomas Yeo, Mert R. Sabuncu, Polina Gollan...
ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
16 years 21 days ago
Articulated object tracking by rendering consistent appearance parts
— We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination wit...
Zachary A. Pezzementi, Sandrine Voros, Gregory D. ...
CORR
2010
Springer
69views Education» more  CORR 2010»
15 years 6 months ago
A Geometric View of Conjugate Priors
In Bayesian machine learning, conjugate priors are popular, mostly due to mathematical convenience. In this paper, we show that there are deeper reasons for choosing a conjugate pr...
Arvind Agarwal, Hal Daumé III