Exploring artificial intelligence in the new millennium

By Gerhard Lakemeyer, Bernhard Nebel. 2003

779 citations recorded by the source corpus.

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Citations in the corpus

Machine learning and the physical sciences (2019, methodology): “These works computed (nonrigorously) the asymptotically optimal performance and delimited sharply regions of parameters where this performance is reached by the belief propagation (BP) algorithm (Yedidia et al., 2003).”
The patch transform and its applications to image editing (2008, background): “Since the exclusivity term is a global function involving all xi, we can represent it as a factor node [30] that’s connected to every image node xi.”
Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing (2006, methodology): “…Tang and Lee 1992; Golfarelli et al 1998, 2001) and has led to several novel and exciting developments in the past few years (Murphy 1999; Montemerlo et al. 2002; Frese and Duckett 2003; Paskin 2003; Folkesson and Christensen 2004; Frese et al. 2005; Thrun et al. 2004, 2005; Folkesson et al. 2005).”
RNN-based Learning of Compact Maps for Efficient Robot Localization (2007, methodology): “Traditional approaches to Simultaneous Localization and Mapping (SLAM) with distance sensor data are typically based on occupancy grids — that is, the robot builds an explicit map of its environment as it moves around [1, 2, 3, 4].”
DAG-Recurrent Neural Networks for Scene Labeling (2015, methodology): “The errors propagated from DAG-RNNs to the convolution layer for image unit v i are calculated based on the following equations:”
Merlin: specification inference for explicit information flow problems (2009, background): “If tainted data is passed to regular nodes, theymerely propagate it to their successors without any mediation.”
Visual simultaneous localization and mapping: a survey (2012, background): “Thrun (2002) performs a detailed study on the topic of robotic mapping using probabilistic techniques in indoor environments.”
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications (2011, result): “Our contribution and relation to previous work 7”
ROBOT-CENTRIC ELEVATION MAPPING WITH UNCERTAINTY ESTIMATES (2014, methodology): “, (1) where the rotation between map frame and sensor frame CSM is parameterized by the unit quaternion q.”