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147
Voted
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 4 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
133
Voted
VISSYM
2004
15 years 4 months ago
Isosurface Computation Made Simple
This paper presents a simple approach for rendering isosurfaces of a scalar field. Using the vertex programming capability of commodity graphics cards, we transfer the cost of com...
Valerio Pascucci
130
Voted
NIPS
1998
15 years 3 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
IJCAI
1989
15 years 3 months ago
An Approximate Solver for Symbolic Equations
This paper describes a program, called NEWTON, that finds approximate symbolic solutions to parameterized equations in one variable. N E W T O N derives an initial approximation b...
Elisha Sacks
135
Voted
CORR
2010
Springer
135views Education» more  CORR 2010»
15 years 2 months ago
The Power of Nondeterminism in Self-Assembly
tigate the role of nondeterminism in Winfree's abstract Tile Assembly Model (aTAM), which was conceived to model artificial molecular self-assembling systems constructed from...
Nathaniel Bryans, Ehsan Chiniforooshan, David Doty...