Sciweavers

388 search results - page 50 / 78
» A Lattice-Based Approach to Hierarchical Clustering
Sort
View
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 4 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
SUTC
2006
IEEE
14 years 1 months ago
Energy and Communication Efficient Group Key Management Protocol for Hierarchical Sensor Networks
- In this paper, we describe a group key management protocol for hierarchical sensor networks where instead of using pre-deployed keys, each sensor node generates a partial key dyn...
Biswajit Panja, Sanjay Kumar Madria, Bharat K. Bha...
BMCBI
2006
216views more  BMCBI 2006»
13 years 7 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
ISNN
2011
Springer
12 years 10 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
ICC
2008
IEEE
167views Communications» more  ICC 2008»
14 years 2 months ago
Clustering Large Optical Networks for Distributed and Dynamic Multicast
—For a large-scale mesh network with dynamic traffic, maintaining the global state information in a centralized fashion is impractical. Hence, distributed schemes are needed to ...
Mohammad Masud Hasan, Jason P. Jue