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SDM
2007
SIAM
126views Data Mining» more  SDM 2007»
15 years 2 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
105
Voted
SAS
2004
Springer
103views Formal Methods» more  SAS 2004»
15 years 6 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 24 days 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
108
Voted
CVBIA
2005
Springer
15 years 6 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...
112
Voted
ARCS
2005
Springer
15 years 6 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