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CIBCB
2005
IEEE
15 years 5 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
PAM
2009
Springer
15 years 6 months ago
Access Point Localization Using Local Signal Strength Gradient
Abstract. Many previous studies have examined the placement of access points (APs) to improve the community’s understanding of the deployment and behavioral characteristics of wi...
Dongsu Han, David G. Andersen, Michael Kaminsky, K...
NDJFL
2010
14 years 6 months ago
Embeddings of Computable Structures
We study what the existence of a classical embedding between computable structures implies about the existence of computable embeddings. In particular, we consider the effect of fi...
Asher M. Kach, Oscar Levin, Reed Solomon
OHS
2000
Springer
15 years 3 months ago
Structural Computing in the Collaborative Work Domain?
Abstract. Structural computing is a new paradigm for developing applications in new domains. One of its benefits is that adaptation of behavior--as a consequence of changes of the ...
Jörg M. Haake
ICCV
2001
IEEE
16 years 1 months ago
Indexing Based on Scale Invariant Interest Points
This paper presents a new method for detecting scale invariant interest points. The method is based on two recent results on scale space: 1) Interest points can be adapted to scal...
Krystian Mikolajczyk, Cordelia Schmid