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144
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ICML
2007
IEEE
16 years 4 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
163
Voted
ICRA
1995
IEEE
188views Robotics» more  ICRA 1995»
15 years 7 months ago
Fast Approximation of Range Images by Triangular Meshes Generated through Adaptive Randomized Sampling
This paper describes and evaluates an efficient technique that allows the fast generation of 3D triangular meshes from range images avoiding optimization procedures. Such a tool ...
Miguel Angel García
RSS
2007
198views Robotics» more  RSS 2007»
15 years 5 months ago
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
— Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
Fabio T. Ramos, Dieter Fox, Hugh F. Durrant-Whyte
122
Voted
TPDS
2010
135views more  TPDS 2010»
15 years 2 months ago
Maximizing Service Reliability in Distributed Computing Systems with Random Node Failures: Theory and Implementation
—In distributed computing systems (DCSs) where server nodes can fail permanently with nonzero probability, the system performance can be assessed by means of the service reliabil...
Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat
121
Voted
ISBI
2008
IEEE
16 years 4 months ago
3D general lesion segmentation in CT
This paper describes a general purpose algorithm to segment any kind of lesions in CT images. The algorithm expects a click or a stroke inside the lesion from the user and learns ...
Marie-Pierre Jolly, Leo Grady