Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Daniel Prusa"'
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264115
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3ee9a8bf2762f2e02ff1b81cada3f42
https://doi.org/10.1007/978-3-031-26412-2_27
https://doi.org/10.1007/978-3-031-26412-2_27
Publikováno v:
CVPR
It is well-known that for general convex optimization problems, block-coordinate descent can get stuck in poor local optima. Despite that, versions of this method known as convergent message passing are very successful to approximately solve the dual
Autor:
Tomáš Werner, Daniel Prusa
Publikováno v:
CVPR
We show that solving the LP relaxation of the min-sum labeling problem (also known as MAP inference problem in graphical models, discrete energy minimization, or valued constraint satisfaction) is not easier than solving any linear program. Precisely
Autor:
Daniel Prusa, Akio Fujiyoshi
Publikováno v:
ICDAR
We study the task of document layout analysis based on two-dimensional context-free grammars. We first identify a subclass of the grammars sufficient for a document structure description where productions follow a mechanism inducing regular languages
Publikováno v:
ICFHR
We experiment with off-line recognition of handwritten flowcharts based on strokes reconstruction and our state-of-the-art on-line diagram recognizer. A simple baseline algorithm for strokes reconstruction is presented and necessary modifications of
Autor:
Daniel Prusa, Tomáš Werner
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 39(7)
In our recent work, we showed that solving the LP relaxation of the pairwise min-sum labeling problem (also known as MAP inference in graphical models or discrete energy minimization) is not much easier than solving any linear program. Precisely, the
Autor:
Daniel Prusa
Publikováno v:
CVPR
We show how the simplex algorithm can be tailored to the linear programming relaxation of pairwise energy minimization with binary variables. A special structure formed by basic and nonbasic variables in each stage of the algorithm is identified and
Publikováno v:
WACV
This paper deals with recognition of arrows in online sketched diagrams. Arrows have varying appearance and thus it is a difficult task to recognize them directly. It is beneficial to detect arrows after other symbols (easier to detect) are already f
Publikováno v:
ICFHR
We present our recent model of a diagram recognition engine. It extends our previous work which approaches the structural recognition as an optimization problem of choosing the best subset of symbol candidates. The main improvement is the integration
Publikováno v:
ICDAR
This work deals with the on-line recognition of hand-drawn graphical sketches with structure. We present a novel approach, in which the search for a suitable interpretation of the input is formulated as a combinatorial optimization task - the max-sum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3a0c44c3475dd5ce13da0974781482c