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DATAMINE
1998
14 years 11 months ago
1998
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-...
TVLSI
1998
14 years 11 months ago
1998
Abstract—Pseudoexhaustive testing involves applying all possible input patterns to the individual output cones of a combinational circuit. Based on our new algebraic results, we ...
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VLSISP
1998
14 years 11 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
TECS
2002
14 years 11 months ago
2002
les to further raise the abstraction level of the initial specification, where dynamic data sets can be specified without low-level details. Our method is suited for hardware and s...
TMI
2002
14 years 11 months ago
2002
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...