Sciweavers

JAIR
1998
195views more  JAIR 1998»
13 years 9 months ago
AntNet: Distributed Stigmergetic Control for Communications Networks
This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo syst...
Gianni Di Caro, Marco Dorigo
JHSN
2002
58views more  JHSN 2002»
13 years 9 months ago
Aggregation based information collection for mobile environments
: In the future, we are likely to see a tremendous rise in mobile computing and communications as ubiquitous applications incorporate multimedia information. These mobile multimedi...
Qi Han, Nalini Venkatasubramanian
COMGEO
1999
ACM
13 years 9 months ago
Point labeling with sliding labels
This paper discusses algorithms for labeling sets of points in the plane, where labels are not restricted to some finite number of positions. We show that continuously sliding lab...
Marc J. van Kreveld, Tycho Strijk, Alexander Wolff
COMGEO
1999
ACM
13 years 9 months ago
Simplifying spline models
We present a new approach for simplifying models composed of rational spline patches. Given an input model, the algorithm computes a new approximation of the model in terms of cub...
M. Gopi, Dinesh Manocha
COMBINATORICA
1999
89views more  COMBINATORICA 1999»
13 years 9 months ago
A Sublinear Bipartiteness Tester for Bounded Degree Graphs
We present a sublinear-time algorithm for testing whether a bounded degree graph is bipartite or far from being bipartite. Graphs are represented by incidence lists of bounded len...
Oded Goldreich, Dana Ron
JCB
2002
70views more  JCB 2002»
13 years 9 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
IJON
1998
158views more  IJON 1998»
13 years 9 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
IJCV
1998
81views more  IJCV 1998»
13 years 9 months ago
Estimating the Focus of Expansion in Analog VLSI
In the course of designing an integrated system for locating the focus of expansion (FOE) from a sequence of images taken while a camera is translating, a variety of direct motion ...
Ignacio S. McQuirk, Berthold K. P. Horn, Hae-Seung...
JAIR
2002
163views more  JAIR 2002»
13 years 9 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
JAIR
2002
134views more  JAIR 2002»
13 years 9 months ago
Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video
We develop, analyze, and evaluate a novel, supervised, specific-to-general learner for a simple temporal logic and use the resulting algorithm to learn visual event definitions fr...
Alan Fern, Robert Givan, Jeffrey Mark Siskind