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ICDE
2012
IEEE
191views Database» more  ICDE 2012»
12 years 1 months ago
Processing and Notifying Range Top-k Subscriptions
— We consider how to support a large number of users over a wide-area network whose interests are characterized by range top-k continuous queries. Given an object update, we need...
Albert Yu, Pankaj K. Agarwal, Jun Yang 0001
ATAL
2011
Springer
12 years 11 months ago
Quality guarantees for region optimal DCOP algorithms
k- and t-optimality algorithms [9, 6] provide solutions to DCOPs that are optimal in regions characterized by its size and distance respectively. Moreover, they provide quality gu...
Meritxell Vinyals, Eric Shieh, Jesús Cerqui...
ICCV
2011
IEEE
12 years 11 months ago
A Graph-matching Kernel for Object Categorization
This paper addresses the problem of category-level image classification. The underlying image model is a graph whose nodes correspond to a dense set of regions, and edges reflec...
Olivier Duchenne, Armand Joulin, Jean Ponce
DAM
2011
13 years 6 months ago
Noisy colored point set matching
In this paper we tackle the problem of matching two colored point sets in R3 under the bottleneck distance. First we present an exact matching algorithm that requires the computat...
Yago Diez, Joan Antoni Sellarès
CORR
2010
Springer
162views Education» more  CORR 2010»
13 years 10 months ago
Networked Computing in Wireless Sensor Networks for Structural Health Monitoring
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
Apoorva Jindal, Mingyan Liu
ACMICEC
2007
ACM
102views ECommerce» more  ACMICEC 2007»
14 years 3 months ago
Learning to trade with insider information
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
Sanmay Das
ICML
1996
IEEE
15 years 9 days ago
Toward Optimal Feature Selection
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
Daphne Koller, Mehran Sahami