Characterizing Image Sets Using Formal Concept Analysis

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Characterizing Image Sets Using Formal Concept Analysis

This article presents a newmethod for supervised image classification. Given a finite number of image sets, each set corresponding to a place of an environment, we propose a localization strategy, which relies upon supervised classification. For each place, the corresponding landmark is actually a combination of features that have to be detected in the image set. Moreover, these features are ex...

متن کامل

Analysis of Large Data Sets using Formal Concept Lattices

Formal Concept Analysis (FCA) is an emerging data technology that has applications in the visual analysis of large-scale data. However, data sets are often too large (or contain too many formal concepts) for the resulting concept lattice to be readable. This paper complements existing work in this area by describing two methods by which useful and manageable lattices can be derived from large d...

متن کامل

Detecting Software Patterns using Formal Concept Analysis

Redocumentation and design recovery are two important areas of reverse engineering. Detection of recurring organizations of classes and communicating objects, called Software Patterns, supports this process. Many approaches to detect Software Patterns have been published in the past years. Most of these approaches need a pattern library as reference. Personal coding style and domain specific re...

متن کامل

Query-based Biclustering using Formal Concept Analysis

Biclustering methods have proven to be critical tools in the exploratory analysis of high-dimensional data including information networks, microarray experiments, and bag of words data. However, most biclustering methods fail to answer specific questions of interest and do not incorporate prior knowledge and expertise from the user. To this end, query-based biclustering algorithms that are rece...

متن کامل

Using Formal Concept Analysis in Mathematical Discovery

Formal concept analysis (FCA) comprises a set of powerful algorithms which can be used for data analysis and manipulation, and a set of visualisation tools which enable the discovery of meaningful relationships between attributes of the data. We explore the potential of combining FCA and mathematical discovery tools in order to better facilitate discovery tasks. In particular, we propose a nove...

متن کامل

ذخیره 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: EURASIP Journal on Advances in Signal Processing

سال: 2005

ISSN: 1687-6180

DOI: 10.1155/asp.2005.1931