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CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 2 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
ICPR
2008
IEEE
16 years 1 months ago
Finding the splitting vector for image resolution up-conversion
This paper proposes a new single-frame image upconversion approach that uses prior information. The proposed method overcomes the drawbacks of the Kondo 2001 where the class membe...
Xinyu Xu, Hao Pan
ICIP
2008
IEEE
16 years 8 months ago
Using point correspondences without projective deformation for multi-view stereo reconstruction
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. In a first pass, it uses Scale Invariant Features Transform (SIFT) descriptor co...
Adrien Auclair, Nicole Vincent, Laurent D. Cohen
CHI
2004
ACM
16 years 7 months ago
Pointing without a pointer
We present a method for performing selection tasks based on continuous control of multiple, competing agents who try to determine the user's intentions from their control beh...
John Williamson, Roderick Murray-Smith
COMPGEOM
2009
ACM
16 years 1 months ago
Approximate center points with proofs
We present the Iterated-Tverberg algorithm, the first deterministic algorithm for computing an approximate centerpoint of a set S ∈ Rd with running time sub-exponential in d. T...
Gary L. Miller, Donald Sheehy