Sciweavers

468 search results - page 3 / 94
» Optimization of in-network data reduction
Sort
View
WEBI
2010
Springer
13 years 3 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
ICN
2005
Springer
13 years 10 months ago
Optimizing Inter-domain Multicast Through DINloop with GMPLS
This paper proposes DINloop (Data-In-Network loop) based multicast with GMPLS (generalized multiprotocol label switching) to overcome the scalability problems existing in current i...
Huaqun Guo, Lek Heng Ngoh, Wai-Choong Wong
ISLPED
2005
ACM
86views Hardware» more  ISLPED 2005»
13 years 10 months ago
An evaluation of code and data optimizations in the context of disk power reduction
Disk power management is becoming increasingly important in high-end server and cluster type of environments that execute dataintensive applications. While hardware-only approache...
Mahmut T. Kandemir, Seung Woo Son, Guangyu Chen
DMSN
2004
ACM
13 years 10 months ago
Optimization of in-network data reduction
We consider the in-network computation of approximate “big picture” summaries in bandwidth-constrained sensor networks. First we review early work on computing the Haar wavele...
Joseph M. Hellerstein, Wei Wang
AAAI
2010
13 years 2 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan