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ICCV
2009
IEEE
13 years 8 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
BMCBI
2006
140views more  BMCBI 2006»
13 years 10 months ago
MACSIMS : multiple alignment of complete sequences information management system
Background: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as...
Julie D. Thompson, Arnaud Muller, Andrew M. Waterh...
EUROPAR
2007
Springer
14 years 4 months ago
Virtual Cluster Management with Xen
Recently, virtualization of hardware resources to run multiple instances of independent virtual machines over physical hosts has gained popularity due to an industry-wide focus on ...
Nikhil Bhatia, Jeffrey S. Vetter
HPDC
1999
IEEE
14 years 2 months ago
Dodo: A User-level System for Exploiting Idle Memory in Workstation Clusters
In this paper, we present the design and implementation of Dodo, an e cient user-level system for harvesting idle memory in o -the-shelf clusters of workstations. Dodo enables dat...
Samir Koussih, Anurag Acharya, Sanjeev Setia
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
13 years 10 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring