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» Image segmentation in a kernel-induced space
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ICAPR
2009
Springer
14 years 2 months ago
Distraction Free Evolution of Active Contours
We propose a novel energy term to make the curve evolution quite robust to spurious edges. The physical intuition behind the formulation is that an object edge is generally contin...
Viswanathan Srikrishnan, Subhasis Chaudhuri
CVPR
2009
IEEE
13 years 12 months ago
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
Radhouène Neji, Nikos Paragios, Gilles Fleu...
NIPS
2004
13 years 9 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...
KAIS
2006
87views more  KAIS 2006»
13 years 8 months ago
Improving the performance of 1D object classification by using the Electoral College
Abstract It has been proven that districted matching schemes (e.g., the US presidential election scheme, also called the Electoral College) are more stable than undistricted matchi...
Liang Chen, Ruoyu Chen, Sharmin Nilufar
TMI
2008
85views more  TMI 2008»
13 years 7 months ago
Sparsity-Enforced Slice-Selective MRI RF Excitation Pulse Design
We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximat...
Adam C. Zelinski, Lawrence L. Wald, K. Setsompop, ...