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NIPS
2000
15 years 8 months ago
Active Support Vector Machine Classification
An active set strategy is applied to the dual of a simple reformulation of the standard quadratic program of a linear support vector machine. This application generates a fast new...
Olvi L. Mangasarian, David R. Musicant
MICCAI
2007
Springer
16 years 7 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...
ADCM
2010
59views more  ADCM 2010»
15 years 6 months ago
Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
Christian Rieger, Barbara Zwicknagl
PAA
2006
15 years 6 months ago
An empirical study of machine learning techniques for affect recognition in human-robot interaction
Abstract Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motiva...
Pramila Rani, Changchun Liu, Nilanjan Sarkar, Eric...
NCA
2008
IEEE
16 years 29 days ago
Finite Memory: A Vulnerability of Intrusion-Tolerant Systems
In environments like the Internet, faults follow unusual patterns, dictated by the combination of malicious attacks with accidental faults such as long communication delays caused...
Giuliana Santos Veronese, Miguel Correia, Lau Cheu...