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» Algorithmic Randomness of Closed Sets
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MVA
1996
14 years 10 months ago
Inductive Learning of Primitive Shape Features of Closed Contours
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
MICCAI
2009
Springer
15 years 10 months ago
A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting
Abstract. We present a method for automatically segmenting skin lesions by initializing the random walker algorithm with seed points whose properties, such as colour and texture, h...
Paul Wighton, Maryam Sadeghi, Tim K. Lee, M. St...
80
Voted
VLSID
2002
IEEE
95views VLSI» more  VLSID 2002»
15 years 9 months ago
Design of an On-Chip Test Pattern Generator without Prohibited Pattern Set (PPS)
| This paper reports the design of a Test Pattern Generator (TPG) for VLSI circuits. The onchip TPG is so designed that it generates test patterns while avoiding generation of a gi...
Niloy Ganguly, Biplab K. Sikdar, Parimal Pal Chaud...
APPROX
2004
Springer
179views Algorithms» more  APPROX 2004»
15 years 2 months ago
Maximum Weight Independent Sets and Matchings in Sparse Random Graphs. Exact Results Using the Local Weak Convergence Method
ABSTRACT: Let G(n, c/n) and Gr(n) be an n-node sparse random graph and a sparse random rregular graph, respectively, and let I(n, r) and I(n, c) be the sizes of the largest indepen...
David Gamarnik, Tomasz Nowicki, Grzegorz Swirszcz
EUSFLAT
2003
14 years 10 months ago
Fuzzy models for prediction based on random set semantics
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
Nicholas J. Randon, Jonathan Lawry