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» Training Linear Discriminant Analysis in Linear Time
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SIGIR
2012
ACM
13 years 7 days ago
Parallelizing ListNet training using spark
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
Shilpa Shukla, Matthew Lease, Ambuj Tewari
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
15 years 4 months ago
Exact controllability of linear neutral type systems by the moment problem approach
Abstract— The problem of exact null-controllability is considered for a wide class of linear neutral type systems with distributed delay. The main tool of the analysis is the app...
Rabah Rabah, Grigory Sklyar
CVPR
2001
IEEE
15 years 11 months ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
ECCV
2006
Springer
15 years 11 months ago
Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 3 months ago
Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maxi...
Gero Szepannek, Claus Weihs