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» New Research Directions in Search Results Clustering
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ECML
2006
Springer
15 years 1 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
FPL
2008
Springer
113views Hardware» more  FPL 2008»
14 years 11 months ago
Mapping and scheduling with task clustering for heterogeneous computing systems
This paper presents a new approach for mapping task graphs to heterogeneous hardware/software computing systems using heuristic search techniques. Two techniques: (1) integration ...
Yuet Ming Lam, José Gabriel F. Coutinho, Wa...
APSEC
2006
IEEE
15 years 3 months ago
Project Replayer with Email Analysis - Revealing Contexts in Software Development
In many software development projects, people tend to repeat same mistakes due to lack of shared knowledge from past experiences. Generally, it is very difficult to manually find ...
Kimiharu Okura, Keita Goto, Noriko Hanakawa, Shinj...
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
15 years 3 months ago
Adoption of Collaboration Information Technologies in Australian and US Organizations: A Comparative Study
Collaboration to accomplish tasks has taken on a new meaning over the past few years. The majority of organizations are viewing information technology (IT) as a key enabler to tra...
Deepinder S. Bajwa, L. Floyd Lewis, Graham Pervan
ICDM
2007
IEEE
139views Data Mining» more  ICDM 2007»
15 years 4 months ago
Data Clustering with a Relational Push-Pull Model
We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
Adam Anthony, Marie desJardins