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RANDOM
2001
Springer
14 years 1 days ago
On Euclidean Embeddings and Bandwidth Minimization
We study Euclidean embeddings of Euclidean metrics and present the following four results: (1) an O(log3 n √ log log n) approximation for minimum bandwidth in conjunction with a ...
John Dunagan, Santosh Vempala
IJCAI
2007
13 years 9 months ago
Improving Embeddings by Flexible Exploitation of Side Information
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey
ASPDAC
2006
ACM
126views Hardware» more  ASPDAC 2006»
14 years 1 months ago
A novel instruction scratchpad memory optimization method based on concomitance metric
Scratchpad memory has been introduced as a replacement for cache memory as it improves the performance of certain embedded systems. Additionally, it has also been demonstrated tha...
Andhi Janapsatya, Aleksandar Ignjatovic, Sri Param...
ICSE
2003
IEEE-ACM
14 years 7 months ago
Embedded Architect: A Tool for Early Performance Evaluation of Embedded Software
Embedded Architect is a design automation tool that embodies a static performance evaluation technique to support early, architecture-level design space exploration for component-...
Jeffry T. Russell, Margarida F. Jacome
STACS
2007
Springer
14 years 1 months ago
Hard Metrics from Cayley Graphs of Abelian Groups
: Hard metrics are the class of extremal metrics with respect to embedding into Euclidean spaces: they incur Ω(logn) multiplicative distortion, which is as large as it can possib...
Ilan Newman, Yuri Rabinovich