On Lifting Maps between Weyl Modules: Can Bad Shapes Be Resolved by Better Shapes?
نویسندگان
چکیده
منابع مشابه
Analysis and Visualization of Maps Between Shapes
In this paper we propose a method for analyzing and visualizing individual maps between shapes, or collections of such maps. Our method is based on isolating and highlighting areas where the maps induce significant distortion of a given measure in a multi-scale way. Unlike the majority of prior work which focuses on discovering maps in the context of shape matching, our main focus is on evaluat...
متن کاملDeblurring and Denoising of Maps between Shapes
Shape correspondence is an important and challenging problem in geometry processing. Generalized map representations, such as functional maps, have been recently suggested as an approach for handling difficult mapping problems, such as partial matching and matching shapes with high genus, within a generic framework. While this idea was shown to be useful in various scenarios, such maps only pro...
متن کاملRelation Between RNA Sequences, Structures, and Shapes via Variation Networks
Background: RNA plays key role in many aspects of biological processes and its tertiary structure is critical for its biological function. RNA secondary structure represents various significant portions of RNA tertiary structure. Since the biological function of RNA is concluded indirectly from its primary structure, it would be important to analyze the relations between the RNA sequences and t...
متن کاملSmelling shapes: crossmodal correspondences between odors and shapes.
Crossmodal correspondences between odors and visual stimuli-particularly colors-are well-established in the literature, but there is a paucity of research involving visual shape correspondences. Crossmodal associations between 20 odors (a selection of those commonly found in wine) and visual shape stimuli ("kiki"/"bouba" forms-Köhler W. 1929. Gestalt psychology. New York: Liveright.) were inves...
متن کاملRecognisable Shapes for Self-Organizing Maps
The Self-Organizing Map (SOM), and other related architectures, enjoy a growing popularity in the field of Data Mining. These neural network algorithms provide a topology-preserving mapping from high-dimensional data to a lower dimension, which allows for an easier interpretation of complex data. For visualisation of trained maps, a lot of different techniques have been developed. However, conv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Mathematics
سال: 1994
ISSN: 0001-8708
DOI: 10.1006/aima.1994.1039