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NIPS
2008
13 years 9 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
NIPS
2007
13 years 9 months ago
Discriminative Batch Mode Active Learning
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
Yuhong Guo, Dale Schuurmans
DAGSTUHL
2003
13 years 9 months ago
Reliable Distance and Intersection Computation Using Finite Precision Geometry
In this paper we discuss reliable methods in the field of finite precision geometry. We begin with a brief survey of geometric computing and approaches generally used in dealing ...
Katja Bühler, Eva Dyllong, Wolfram Luther
NIPS
2004
13 years 9 months ago
Variational Minimax Estimation of Discrete Distributions under KL Loss
We develop a family of upper and lower bounds on the worst-case expected KL loss for estimating a discrete distribution on a finite number m of points, given N i.i.d. samples. Our...
Liam Paninski
VMV
2001
196views Visualization» more  VMV 2001»
13 years 9 months ago
Efficient Free Form Light Field Rendering
We show a simple and efficient way for rendering arbitrary views from so-called free-form light fields, employing a convex free form camera surface and a set of arbitrarily orient...
Hartmut Schirmacher, Christian Vogelgsang, Hans-Pe...