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» Testing and Spot-Checking of Data Streams
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ICCV
2009
IEEE
13 years 6 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...
WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
14 years 6 months ago
Early Online Identification of Attention Gathering Items In Social Media
Activity in social media such as blogs, micro-blogs, social networks, etc is manifested via interaction that involves text, images, links and other information items. Naturally, s...
Michael Mathioudakis, Nick Koudas, Peter Marbach
PETRA
2009
ACM
14 years 3 months ago
Ambient kitchen: designing situated services using a high fidelity prototyping environment
The Ambient Kitchen is a high fidelity prototype for exploring the design of pervasive computing algorithms and applications for everyday environments. The environment integrates ...
Patrick Olivier, Guangyou Xu, Andrew Monk, Jesse H...
FAST
2010
13 years 11 months ago
Efficient Object Storage Journaling in a Distributed Parallel File System
Journaling is a widely used technique to increase file system robustness against metadata and/or data corruptions. While the overhead of journaling can be masked by the page cache...
Sarp Oral, Feiyi Wang, David Dillow, Galen M. Ship...
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
14 years 5 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic