Sciweavers

187 search results - page 30 / 38
» Scale-Invariant Features on the Sphere
Sort
View
CASCON
2001
96views Education» more  CASCON 2001»
13 years 8 months ago
Integrating SHriMP with the IBM websphere studio workbench
This paper provides an experience report for researchers who are interested in integrating their tools with the new IBM WebSphere Studio Workbench. The Workbench (open source at w...
Derek Rayside, Marin Litoiu, Margaret-Anne D. Stor...
NIPS
2000
13 years 8 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
CGF
2008
227views more  CGF 2008»
13 years 6 months ago
Dynamic Sampling and Rendering of Algebraic Point Set Surfaces
Algebraic Point Set Surfaces (APSS) define a smooth surface from a set of points using local moving least-squares (MLS) fitting of algebraic spheres. In this paper we first revisi...
Gaël Guennebaud, Marcel Germann, Markus H. Gr...
SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
13 years 5 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
MICCAI
2005
Springer
14 years 7 months ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...