Abstract. Most approaches in the field of qualitative spatial reasoning. (QSR) use constraint networks to encode spatial scenarios.

Mar 22, 2023 · Encoding Large RCC8 Scenarios Using Rectangular Pseudo-Solutions. March 22, 2023. Authors. Zhiguo Long. Steven Schockaert. Sanjiang Li. Track:.

Apr 25, 2016 · The size of these networks is quadratic in the number of variables, which has severely limited the real-world application of QSR. In this paper, ...

This paper proposes another representation of spatial scenarios, in which each variable is associated with one or more rectangles, and constructs sequences ...

Encoding large RCC8 scenarios using rectangular pseudo-solutions ; Conference or Workshop Item (Paper) · Published · Computer Science & Informatics · Q Science > QA ...

Encoding large RCC8 scenarios using rectangular pseudo-solutions, en_US. dc.type, Conference Proceeding. utslib.for, 170203 Knowledge Representation and Machine ...

Bibliographic details on Encoding Large RCC8 Scenarios Using Rectangular Pseudo-Solutions.

[seminar] Encoding Large RCC8 Scenarios Using Rectangular Pseudo-Solutions. Abstract: Most approaches in the field of qualitative spatial reasoning (QSR) use ...

Figure 4: Illustration of the growth rate of LABEL when IMI increases. Encoding Large RCC8 Scenarios Using Rectangular Pseudo-Solutions. Conference Paper.

Efficient path consistency algorithm for large qualitative constraint networks ... 2016. Encoding Large RCC8 Scenarios Using Rectangular Pseudo-Solutions. Z Long ...