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IDA
2010
Springer
13 years 6 months ago
Clustering with feature order preferences
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...
Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiyong Shen, Y...
ASPDAC
1999
ACM
122views Hardware» more  ASPDAC 1999»
13 years 12 months ago
A Clustering Based Linear Ordering Algorithm for K-Way Spectral Partitioning
The spectral method can lead to a high quality of multi-way partition due to its ability to capture global netlist information. For spectral partition, n netlist modules are mappe...
Shiuann-Shiuh Lin, Wen-Hsin Chen, Wen-Wei Lin, Tin...
ICFHR
2010
130views Biometrics» more  ICFHR 2010»
13 years 2 months ago
Spatial Similarity Based Stroke Number and Order Free Clustering
In this paper, we present an innovative approach to integrate spatial relations in stroke clustering for handwritten Devanagari character recognition. It handles strokes of any num...
K. C. Santosh, Cholwich Nattee, Bart Lamiroy
ICCV
2011
IEEE
12 years 7 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
DSN
2006
IEEE
14 years 1 months ago
High Throughput Total Order Broadcast for Cluster Environments
Total order broadcast is a fundamental communication primitive that plays a central role in bringing cheap software-based high availability to a wide array of services. This paper...
Rachid Guerraoui, Ron R. Levy, Bastian Pochon, Viv...