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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
EUROSYS
2010
ACM
14 years 4 months ago
Q-Clouds: Managing Performance Interference Effects for QoS-Aware Clouds
Cloud computing offers users the ability to access large pools of computational and storage resources on demand. Multiple commercial clouds already allow businesses to replace, or...
Ripal Nathuji, Aman Kansal, Alireza Ghaffarkhah
CIKM
2009
Springer
14 years 2 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
MM
2009
ACM
195views Multimedia» more  MM 2009»
14 years 2 months ago
The effectiveness of intelligent scheduling for multicast video-on-demand
As more and more video content is made available and accessed on-demand, content and service providers face challenges of scale. Today’s delivery mechanisms, especially unicast,...
Vaneet Aggarwal, A. Robert Calderbank, Vijay Gopal...
VRST
2009
ACM
14 years 2 months ago
The virtual magic lantern: an interaction metaphor for enhanced medical data inspection
In Volume Rendering, it is difficult to simultaneously visualize interior and exterior structures. Several approaches have been developed to solve this problem, such as cut-away ...
Eva Monclús, José Díaz, Isabe...