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» Maximal Vector Computation in Large Data Sets
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ICCS
2007
Springer
13 years 11 months ago
Efficient Implementation of an Optimal Interpolator for Large Spatial Data Sets
Abstract. Interpolating scattered data points is a problem of wide ranging interest. One of the most popular interpolation methods in geostatistics is ordinary kriging. The price f...
Nargess Memarsadeghi, David M. Mount
AI
2006
Springer
13 years 7 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
ECCV
2006
Springer
14 years 9 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
SADM
2010
128views more  SADM 2010»
13 years 6 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic
GLOBECOM
2006
IEEE
14 years 1 months ago
Optimized Transmission for Upstream Vectored DSL Systems Using Zero-Forcing Generalized Decision-Feedback Equalizers
— In upstream vectored DSL transmission, the far-end crosstalk (FEXT) can be completely cancelled by using zeroforcing generalized decision-feedback equalizers (ZF-GDFE). When th...
Chiang-Yu Chen, Kibeom Seong, Rui Zhang, John M. C...