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ICMLA
2009
15 years 2 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
CIDU
2010
15 years 1 months ago
Optimal Partitions of Data In Higher Dimensions
Given any collection of data cells in a data space X, consider the problem of finding the optimal partition of the data cells into blocks which are unions of cells. The algorithms...
Bradley W. Jackson, Jeffrey D. Scargle, Chris Cusa...
CORR
2010
Springer
106views Education» more  CORR 2010»
15 years 1 months ago
Optimal measures and transition kernels
Abstract. We study positive measures that are solutions to an abstract optimisation problem, which is a generalisation of a classical variational problem with a constraint on infor...
Roman V. Belavkin
CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 5 days 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
CVPR
2012
IEEE
13 years 6 months ago
Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity
Active range acquisition systems such as light detection and ranging (LIDAR) and time-of-flight (TOF) cameras achieve high depth resolution but suffer from poor spatial resolutio...
Andrea Colaco, Ahmed Kirmani, Gregory A. Howland, ...