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» Least Expected Cost Query Optimization: What Can We Expect
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IJCV
2011
264views more  IJCV 2011»
13 years 2 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
IWSEC
2010
Springer
13 years 5 months ago
Optimal Adversary Behavior for the Serial Model of Financial Attack Trees
Abstract. Attack tree analysis is used to estimate different parameters of general security threats based on information available for atomic subthreats. We focus on estimating the...
Margus Niitsoo
CIDM
2007
IEEE
13 years 11 months ago
An Efficient Distance Calculation Method for Uncertain Objects
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...
Lurong Xiao, Edward Hung
TCS
2008
13 years 7 months ago
The cost of offline binary search tree algorithms and the complexity of the request sequence
In evaluating the performance of online algorithms for search trees, one wants to compare them to the best offline algorithm available. In this paper we lower bound the cost of an...
Jussi Kujala, Tapio Elomaa
IADIS
2003
13 years 8 months ago
Optimizing Web Server's Data Transfer with Hotlinks
We study the optimization of the expected number of bytes that must be transferred by the Web server when a user visits one of its pages. Given a Web site, we want to find an assi...
Evangelos Kranakis, Danny Krizanc, Miguel Vargas M...