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ALT
2006
Springer
14 years 4 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
PAKDD
2005
ACM
96views Data Mining» more  PAKDD 2005»
14 years 25 days ago
Kernels over Relational Algebra Structures
Abstract. In this paper we present a novel and general framework based on concepts of relational algebra for kernel-based learning over relational schema. We exploit the notion of ...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
ICIP
2005
IEEE
14 years 9 months ago
The impulse responses of block shift-invariant systems and their use for demosaicing algorithms
Shift-invariant linear algorithms can be described completely by the algorithm's response to an impulse input. The so called impulse response can be used as filter kernels wh...
Yacov Hel-Or
ICIP
2007
IEEE
14 years 1 months ago
Modeling Gabor Coefficients via Generalized Gaussian Distributions for Face Recognition
Gabor filters are biologically motivated convolution kernels that have been widely used in the field of computer vision and, specially, in face recognition during the last decad...
Daniel González-Jiménez, Fernando P&...
CVPR
2011
IEEE
12 years 11 months ago
Blur kernel estimation using the Radon Transform
Camera shake is a common source of degradation in photographs. Restoring blurred pictures is challenging because both the blur kernel and the sharp image are unknown, which makes ...
Taeg Sang Cho, Sylvain Paris, Bill Freeman, Bertho...