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ESWS
2010
Springer
15 years 26 days ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann
111
Voted
CIBCB
2005
IEEE
15 years 8 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
SEDE
2010
15 years 5 days ago
Security Controls Applied to Web Service Architectures
Security certification assesses the security posture of a software system to verify its compliance with diverse, pre-specified security controls identified by guidelines from NIST...
Robert Baird, Rose F. Gamble
103
Voted
CVPR
2006
IEEE
15 years 8 months ago
Estimating Intrinsic Component Images using Non-Linear Regression
Images can be represented as the composition of multiple intrinsic component images, such as shading, albedo, and noise images. In this paper, we present a method for estimating i...
Marshall F. Tappen, Edward H. Adelson, William T. ...
ICML
2002
IEEE
16 years 3 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...