316 search results - page 11 / 64 » Metric embedding of view-graphs |
110
Voted
RANDOM
2001
Springer
15 years 8 months ago
2001
Springer
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 ...
120
Voted
IJCAI
2007
15 years 4 months ago
2007
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...
116
click to vote
ASPDAC
2006
ACM
15 years 9 months ago
2006
ACM
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...
121
Voted
ICSE
2003
IEEE-ACM
16 years 3 months ago
2003
IEEE-ACM
Embedded Architect is a design automation tool that embodies a static performance evaluation technique to support early, architecture-level design space exploration for component-...
128
Voted
STACS
2007
Springer
15 years 9 months ago
2007
Springer
: 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...