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» Presenting Data from Experiments in Algorithmics
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AIPS
2003
15 years 9 months ago
Learning Rules for Adaptive Planning
This paper presents a novel idea, which combines Planning, Machine Learning and Knowledge-Based techniques. It is concerned with the development of an adaptive planning system tha...
Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassili...
JCSS
2007
116views more  JCSS 2007»
15 years 7 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
15 years 2 months ago
Multi-robot SLAM using M-Space feature representation
This paper presents a SLAM algorithm for a team of mobile robots exploring an indoor environment, described by adopting the M-Space representation of linear features. Each robot so...
Daniele Benedettelli, Andrea Garulli, Antonio Gian...
PAMI
2012
13 years 10 months ago
Joint Depth and Color Camera Calibration with Distortion Correction
—We present an algorithm that simultaneously calibrates two color cameras, a depth camera, and the relative pose between them. The method is designed to have three key features: ...
Daniel Herrera C., Juho Kannala, Janne Heikkil&aum...
CCS
2006
ACM
15 years 11 months ago
Secure hierarchical in-network aggregation in sensor networks
In-network aggregation is an essential primitive for performing queries on sensor network data. However, most aggregation algorithms assume that all intermediate nodes are trusted...
Haowen Chan, Adrian Perrig, Dawn Xiaodong Song