Reasoning about Noisy Sensors in the Situation Calculus
Fahiem Bacchus, Joseph Y. Halpern, et al.
IJCAI 1995
This article considers the image processing problem of texture recognition. It is shown that a chi-square test based upon a two-dimensional autoregressive model can be derived and can be used to test for differences between certain types of micro-textures. The chi-square test cannot be used with macro-textures, and another autoregressive-based distance measure is derived which is more suitable for these cases. It is shown experimentally that this distance measure affords a reliable means of classifying a broad class of micro- and macro-textures using a nearest-neighbour type of approach. © 1982.
Fahiem Bacchus, Joseph Y. Halpern, et al.
IJCAI 1995
Balaji Ganesan, Arjun Ravikumar, et al.
ICON 2023
Susumu Horiguchi, Takeo Nakada
Journal of Parallel and Distributed Computing
S. Winograd
Journal of the ACM