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ICML
2008
IEEE
14 years 11 months ago
Multiple instance ranking
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The mo...
Charles Bergeron, Jed Zaretzki, Curt M. Breneman, ...
ADHOCNOW
2004
Springer
14 years 3 months ago
Range-Free Ranking in Sensors Networks and Its Applications to Localization
We address the question of finding sensors’ coordinates, or at least an approximation of them, when the sensors’ abilities are very weak. In a d dimensional space, we define ...
Zvi Lotker, Marc Martinez de Albeniz, Stephane Per...
CVPR
2011
IEEE
13 years 6 months ago
Non-Rigid Structure from Motion with Complementary Rank-3 Spaces
Non-rigid structure from motion (NR-SFM) is a difficult, underconstrained problem in computer vision. This paper proposes a new algorithm that revises the standard matrix factori...
Paulo Gotardo, Aleix Martinez
CORR
2011
Springer
157views Education» more  CORR 2011»
13 years 1 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
ECCV
2006
Springer
14 years 1 months ago
The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection
We study the rank and geometry of the multibody fundamental matrix, a geometric entity characterizing the two-view geometry of dynamic scenes consisting of multiple rigidbody moti...
Xiaodong Fan, René Vidal