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ESANN
2004
15 years 4 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
111
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SODA
2004
ACM
89views Algorithms» more  SODA 2004»
15 years 4 months ago
Interpolation search for non-independent data
We define a deterministic metric of "well-behaved data" that enables searching along the lines of interpolation search. Specifically, define to be the ratio of distance...
Erik D. Demaine, Thouis R. Jones, Mihai Patrascu
156
Voted
ROOM
2000
15 years 4 months ago
An Overview of The Mensurae Language: Specifying Business Processes
We describe a language which can be used to model business processes (both technical and nontechnical). It has a formal semantics, so as to enable formal analysis and prediction o...
T. S. E. Maibaum
ACL
1993
15 years 4 months ago
Intention-Based Segmentation: Human Reliability and Correlation with Linguistic Cues
Certain spans of utterances in a discourse, referred to here as segments, are widely assumedto form coherent units. Further, the segmental structure of discourse has been claimed ...
Rebecca J. Passonneau, Diane J. Litman
JMIV
2006
94views more  JMIV 2006»
15 years 3 months ago
Geodesic Shooting for Computational Anatomy
Studying large deformations with a Riemannian approach has been an efficient point of view to generate metrics between deformable objects, and to provide accurate, non ambiguous an...
Michael I. Miller, Alain Trouvé, Laurent Yo...