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» The Tradeoffs of Large Scale Learning
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ICIP
2009
IEEE
14 years 9 months ago
Scaling Peer-to-peer Video-on-demand Systems Using Helpers
The throughput of Peer-to-Peer (P2P) Video-on-Demand (VoD) systems is typically capped by the users' aggregate upload bandwidth [1]. The drastic increase in the popularity of...
DEXA
2005
Springer
148views Database» more  DEXA 2005»
14 years 1 months ago
XG: A Data-Driven Computation Grid for Enterprise-Scale Mining
In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Wen-...
JUCS
2008
130views more  JUCS 2008»
13 years 7 months ago
Feature Selection for the Classification of Large Document Collections
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
ICDM
2008
IEEE
190views Data Mining» more  ICDM 2008»
14 years 2 months ago
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimo...
Meghana Deodhar, Joydeep Ghosh
ECCV
2010
Springer
14 years 6 days ago
Learning a Fine Vocabulary
We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over ...