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SDM
2007
SIAM
126views Data Mining» more  SDM 2007»
15 years 7 months ago
Nonlinear Dimensionality Reduction using Approximate Nearest Neighbors
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...
Erion Plaku, Lydia E. Kavraki
SAS
2004
Springer
103views Formal Methods» more  SAS 2004»
15 years 11 months ago
A Scalable Nonuniform Pointer Analysis for Embedded Programs
Abstract. In this paper we present a scalable pointer analysis for embedded applications that is able to distinguish between instances of recursively defined data structures and e...
Arnaud Venet
INFORMATICALT
2008
97views more  INFORMATICALT 2008»
15 years 6 months ago
On Dimensionality of Embedding Space in Multidimensional Scaling
Multidimensional scaling is a technique for exploratory analysis of multidimensional data widely usable in different applications. By means of this technique the image points in a ...
Julius Zilinskas
CVBIA
2005
Springer
15 years 11 months ago
Locally Switching Between Cost Functions in Iterative Non-rigid Registration
In non-rigid image registration problems, it can be difficult to construct a single cost function that adequately captures concepts of similarity for multiple structures, for examp...
William Mullally, Margrit Betke, Carissa Bellardin...
ARCS
2005
Springer
15 years 11 months ago
A File System for System Programming in Ubiquitous Computing
In Ubiquitous computing small embedded sensor and computing nodes are the main enabling technologies. System programming for such small embedded systems is a challenging task invol...
Christian Decker, Michael Beigl, Albert Krohn