Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming

Non-Procedural Facade Parsing: Bidirectional Alignment via Linear Programming Supplementary Material

A Three-Layered Approach to Facade Parsing

We propose a novel three-layered approach for semantic segmentation of building facades. In the first layer, starting from an oversegmentation of a facade, we employ the recently introduced machine learning technique Recursive Neural Networks (RNN) to obtain a probabilistic interpretation of each segment. In the second layer, initial labeling is augmented with the information coming from specia...

Log-Linear Models for Wide-Coverage CCG Parsing

This paper describes log-linear parsing models for Combinatory Categorial Grammar (CCG). Log-linear models can easily encode the long-range dependencies inherent in coordination and extraction phenomena, which CCG was designed to handle. Log-linear models have previously been applied to statistical parsing, under the assumption that all possible parses for a sentence can be enumerated. Enumerat...

User-Assisted Inverse Procedural Facade Modeling and Compressed Image Rendering

We take advantage of human intuition by encoding facades into a procedural representation. Our user-assisted inverse procedural modeling approach allows users to exploit repetitions and symmetries of facades to create a split grammar representation of the input. Terminal symbols correspond to repeating elements such as windows, window panes, and doors and their distributions are encoded as the ...

An Application of the ABS LX Algorithm to Multiple Sequence Alignment

We present an application of ABS algorithms for multiple sequence alignment (MSA). The Markov decision process (MDP) based model leads to a linear programming problem (LPP), whose solution is linked to a suggested alignment. The important features of our work include the facility of alignment of multiple sequences simultaneously and no limit for the length of the sequences. Our goal here is to ...