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DATAMINE
1998
145views more  DATAMINE 1998»
13 years 9 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
CORR
2008
Springer
76views Education» more  CORR 2008»
13 years 10 months ago
Constraint Complexity of Realizations of Linear Codes on Arbitrary Graphs
ABSTRACT. A graphical realization of a linear code C consists of an assignment of the coordinates of C to the vertices of a graph, along with a specification of linear state spaces...
Navin Kashyap
ICASSP
2011
IEEE
13 years 1 months ago
Dense disparity estimation from linear measurements
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose ...
Vijayaraghavan Thirumalai, Pascal Frossard
TIT
2010
105views Education» more  TIT 2010»
13 years 4 months ago
DMT optimality of LR-aided linear decoders for a general class of channels, lattice designs, and system models
The work identifies the first general, explicit, and non-random MIMO encoder-decoder structures that guarantee optimality with respect to the diversity-multiplexing tradeoff (DMT),...
Joakim Jalden, Petros Elia
ICML
2006
IEEE
14 years 10 months ago
Null space versus orthogonal linear discriminant analysis
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
Jieping Ye, Tao Xiong