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» Minimization and Partitioning Method Reducing Input Sets
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MICCAI
2007
Springer
16 years 2 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
SIAMCOMP
2000
109views more  SIAMCOMP 2000»
15 years 1 months ago
Dual-Bounded Generating Problems: Partial and Multiple Transversals of a Hypergraph
Abstract. We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and parti...
Endre Boros, Vladimir Gurvich, Leonid Khachiyan, K...
JGTOOLS
2008
126views more  JGTOOLS 2008»
15 years 1 months ago
Simple Empty-Space Removal for Interactive Volume Rendering
Interactive volume rendering methods such as texture-based slicing techniques and ray-casting have been well developed in recent years. The rendering performance is generally restr...
Vincent Vidal 0002, Xing Mei, Philippe Decaudin
CORR
2010
Springer
76views Education» more  CORR 2010»
15 years 1 months ago
Query Strategies for Evading Convex-Inducing Classifiers
Classifiers are often used to detect miscreant activities. We study how an adversary can systematically query a classifier to elicit information that allows the adversary to evade...
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Hua...
CVPR
2010
IEEE
15 years 1 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...