Importance sampling-based estimation over AND/OR search spaces for graphical models

By Vibhav Gogate, Rina Dechter. 2012

122 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Probabilistic & Bayesian Methods, Signal Processing

Citations in the corpus

• Sum-product networks: A new deep architecture (2011, neutral): “SPNs are closely related to data structures for efficient inference like arithmetic circuits [7] and AND/OR graphs [8].”
• Learning the Structure of Sum-Product Networks (2013, unknown): “SPNs are related to multilinear formulas (Raz, 2004), arithmetic circuits (Darwiche, 2003), AND-OR graphs (Dechter & Mateescu, 2007), and other compact representations .”
• Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion (2020, unknown): “y assume a xed size bounding box and are viewpoint specic, which limits their applicability in the context of object detection. 2.2 Relation of CompositionalNets to And-Or Graphs And-Or graphs (AOG) [44,24,9] have been investigated e.g. to build hierarchical part-based models for human parsing and f”
• Learning optimal decision trees using constraint programming (2020, unknown): “, 2017], the use of an AND/OR search tree [Dechter and Mateescu, 2007] and the use of caching as introduced in DL8 [Nijssen and Fromont, 2007].”