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» How should data structures and algorithms be taught
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220
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PODS
2009
ACM
130views Database» more  PODS 2009»
16 years 3 months ago
Secondary indexing in one dimension: beyond b-trees and bitmap indexes
Let be a finite, ordered alphabet, and consider a string x = x1x2 . . . xn n . A secondary index for x answers alphabet range queries of the form: Given a range [al, ar] , retu...
Rasmus Pagh, Srinivasa Rao Satti
157
Voted
DEXAW
2004
IEEE
166views Database» more  DEXAW 2004»
15 years 6 months ago
Development of Flexible Peer-To-Peer Information Systems Using Adaptable Mobile Agents
Wide-area networks provide an easy access to many different distributed and heterogeneous data sources. The development of automated operating tools is still complex, particularly...
Jean-Paul Arcangeli, Sebastien Leriche, Marc Pante...
161
Voted
JMLR
2008
230views more  JMLR 2008»
15 years 2 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
120
Voted
ICRA
2003
IEEE
129views Robotics» more  ICRA 2003»
15 years 8 months ago
Optimal navigation and object finding without geometric maps or localization
In this paper we present a dynamic data structure, useful for robot navigation in an unknown, simplyconnected planar environment. The guiding philosophy in this work is to avoid t...
Benjamín Tovar, Steven M. LaValle, Rafael M...
105
Voted
ESA
2010
Springer
140views Algorithms» more  ESA 2010»
15 years 3 months ago
A Unified Approach to Approximate Proximity Searching
The inability to answer proximity queries efficiently for spaces of dimension d > 2 has led to the study of approximation to proximity problems. Several techniques have been pro...
Sunil Arya, Guilherme Dias da Fonseca, David M. Mo...