344 search results - page 21 / 69 » Robustness of the Learning with Errors Assumption |
161
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ECCV
2004
Springer
16 years 1 months ago
2004
Springer
Abstract. We study an energy functional for computing optical flow that combines three assumptions: a brightness constancy assumption, a gradient constancy assumption, and a discon...
ICML
2006
IEEE
16 years 16 days ago
2006
IEEE
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
IROS
2006
IEEE
15 years 5 months ago
2006
IEEE
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
101
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...