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[PDF] Top 20 Characterizing image sets using formal concept analysis

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Characterizing image sets using formal concept analysis

Characterizing image sets using formal concept analysis

... supervised image clas- sification. Given a finite number of image sets, each set corre- sponding to a place of an environment, we propose a localization strategy, which relies upon supervised ...the ... Voir le document complet

8

Hyperspectral image analysis using multifractal attributes

Hyperspectral image analysis using multifractal attributes

... multifractal analysis: wavelet leader multifractal formal- ism, the current theoretical and practical benchmark in multifractal analysis, and a novel Bayesian estimation procedure for one of the ... Voir le document complet

6

Formal Concept analysis enhances Fault Localization in Software

Formal Concept analysis enhances Fault Localization in Software

... and formal concept lattices to give a relevant way to navigate into the source code of faulty ...methods, using a trace lattice has three ...the sets of executed lines of passed and failed ... Voir le document complet

17

Feature Model Composition Assisted by Formal Concept Analysis

Feature Model Composition Assisted by Formal Concept Analysis

... Merging several FMs or simply analyzing their differences takes part in this design activity and has been studied thoroughly in the literature (Acher et al., 2010). These activities require in particular to com- pute ... Voir le document complet

12

Constraint-based Formal Concept Mining and its Application to Microarray Data Analysis

Constraint-based Formal Concept Mining and its Application to Microarray Data Analysis

... This concept is very interesting as it con- tains genes which are either up-regulated or down-regulated after insulin stimulation, based on the homology of their promotor DNA ...patients. Using traditional ... Voir le document complet

30

Explaining Multicriteria Decision Making with Formal Concept Analysis

Explaining Multicriteria Decision Making with Formal Concept Analysis

... Once we have identified the minimal sets of criteria for which an alternative is on the Pareto front, we interpret them using background knowledge. This background knowledge takes the form of a set T of ... Voir le document complet

13

Using formal concept analysis for checking the structure of an ontology in LOD: the example of DBpedia

Using formal concept analysis for checking the structure of an ontology in LOD: the example of DBpedia

... the formal context could be built using predi- cates, (predicate, extdtype(object)) and (predicate, object) pairs as ...three sets that describe each of our concepts (extents, intents and ... Voir le document complet

11

Hyperspectral image analysis using multifractal attributes

Hyperspectral image analysis using multifractal attributes

... multifractal analysis: wavelet leader multifractal formal- ism, the current theoretical and practical benchmark in multifractal analysis, and a novel Bayesian estimation procedure for one of the ... Voir le document complet

5

Formal Concept Analysis from the Standpoint of Possibility Theory

Formal Concept Analysis from the Standpoint of Possibility Theory

... way, using two fuzzy sets ‘young’ and ‘small’ with decreasing membership functions, as illustrated in Table 3 ...fuzzy sets and thus, by normalizing in L the domain of attribute ... Voir le document complet

20

Bootstrapping a Classification of French Verbs Using Formal Concept Analysis.

Bootstrapping a Classification of French Verbs Using Formal Concept Analysis.

... verb sets with an informative syntactico-semantic char- acterisation; groups together a satisfactory number of verbs and frames; and permits covering a ma- jority of verbs and (verb, frame) pairs present in ... Voir le document complet

7

Automated Enzyme classification by Formal Concept Analysis

Automated Enzyme classification by Formal Concept Analysis

... a formal context is treated in paper ...where formal concepts are enlarged to approximate concepts during the first step and then merged in a second step when they overlap ...the concept lattice as ... Voir le document complet

17

Practical Use of Formal Concept Analysis in Service-Oriented Computing

Practical Use of Formal Concept Analysis in Service-Oriented Computing

... For the needs of our experiment, two implementations have been realized. The first one loads static data from an XML file; the second uses a random number generator to generate data. Loading data from a static XML file ... Voir le document complet

17

Mining association rules using formal concept analysis

Mining association rules using formal concept analysis

... item- sets (sets of binary attributes) in large ...data analysis, is \ ereal ^ milk ! sugar (support 10%, on den e 60%)" stating that 60% of ustomers who buy ereals and sugar also buy milk and ... Voir le document complet

7

Requirements modelling and formal analysis using graph operations

Requirements modelling and formal analysis using graph operations

... ( Consist_Of)->[ physical_system: Num6 ]- { (AGNT)<-[ carry_out:*]->(OBJ)->[ order: Num5];}; }; Figure 4. Graph U in the linear notation for specification of a ‘Manufacturing Order’ The Nested Conceptual ... Voir le document complet

20

Formal Analysis of Ladder Programs using Deductive Verification

Formal Analysis of Ladder Programs using Deductive Verification

... expressed using contracts, which are an- notations expressed in formal ...these formal contracts. This verification process is performed using automated theorem provers, so that at the end, if ... Voir le document complet

29

Formal Concept Analysis and Knowledge Integration for Highlighting Statistically Enriched Functions from Microarrays Data

Formal Concept Analysis and Knowledge Integration for Highlighting Statistically Enriched Functions from Microarrays Data

... cancers. Consequently, this list represents 222 objects G in our formal context . An Affymetrix HGU133+ microarray was used for experiments. In this dataset, we dispose of three biological situations in the gene ... Voir le document complet

13

Activity recognition by graphical models based on formal concept analysis in sensor-based smart environments

Activity recognition by graphical models based on formal concept analysis in sensor-based smart environments

... 140 or probabilistic models need to be rebuilt from scratch using newly collected training data. However, this assumption is not suitable for AmI applications. Incremental learning is usually a higher level ... Voir le document complet

221

Formal Concept Analysis from the Standpoint of Possibility Theory  (ICFCA 2015)

Formal Concept Analysis from the Standpoint of Possibility Theory (ICFCA 2015)

... Boolean case, we need to introduce a proper representation of partial uncer- tainty including ignorance in the relational table of the formal context. One may think of introducing gradations of uncertainty by ... Voir le document complet

21

Class Model Normalization Outperforming Formal Concept Analysis approaches with AOC-posets

Class Model Normalization Outperforming Formal Concept Analysis approaches with AOC-posets

... of Formal Concept Analysis (FCA [2]) ...the concept lattice which captures the most relevant new super-classes (the AOC-poset, for Attribute-Object Concept poset ...Relational ... Voir le document complet

13

SPATIAL ARCHAEOLOGY USING IMAGE ANALYSIS AND MATHEMATICAL MORPHOLOGY

SPATIAL ARCHAEOLOGY USING IMAGE ANALYSIS AND MATHEMATICAL MORPHOLOGY

... spatial analysis approach favours the morphological aspect of the objects ...Finally, image analysis, with the help of Mathematical Morphology Algorithms, was not used to realise a remote-sensing ... Voir le document complet

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