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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
12 years 10 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
ICCV
2011
IEEE
12 years 7 months ago
Illumination Demultiplexing from a Single Image
A class of techniques in computer vision and graphics is based on capturing multiple images of a scene under different illumination conditions. These techniques explore variations...
Christine Chen, Daniel Vaquero, Matthew Turk

Publication
233views
12 years 6 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
SI3D
2012
ACM
12 years 3 months ago
Interactive rendering of acquired materials on dynamic geometry using bandwidth prediction
Shading complex materials such as acquired reflectances in multilight environments is computationally expensive. Estimating the shading integral requires multiple samples of the ...
Mahdi M. Bagher, Cyril Soler, Kartic Subr, Laurent...
CVPR
2012
IEEE
11 years 10 months ago
A new mirror-based extrinsic camera calibration using an orthogonality constraint
This paper is aimed at calibrating the relative posture and position, i.e. extrinsic parameters, of a stationary camera against a 3D reference object which is not directly visible...
Kosuke Takahashi, Shohei Nobuhara, Takashi Matsuya...