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TIP
2008
128views more  TIP 2008»
15 years 5 months ago
Wavelet Frame Accelerated Reduced Support Vector Machines
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
Matthias Rätsch, Gerd Teschke, Sami Romdhani,...
JCSS
2007
85views more  JCSS 2007»
15 years 5 months ago
A general dimension for query learning
We introduce a combinatorial dimension that characterizes the number of queries needed to exactly (or approximately) learn concept classes in various models. Our general dimension...
José L. Balcázar, Jorge Castro, Davi...
SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
14 years 8 months ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
ICDE
2001
IEEE
206views Database» more  ICDE 2001»
16 years 7 months ago
Cache-Aware Query Routing in a Cluster of Databases
We investigate query routing techniques in a cluster of databases for a query-dominant environment. The objective is to decrease query response time. Each component of the cluster...
Uwe Röhm, Klemens Böhm, Hans-Jörg S...
INFOCOM
2009
IEEE
16 years 17 days ago
Minimizing the Cost of Mine Selection Via Sensor Networks
— In this paper, we study sensor enabled landmine networks by formulating a minimum-cost mine selection problem. The problem arises in a target defence scenario, where the object...
Changlei Liu, Guohong Cao