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Found 25 papers, 1 papers with code
Two Approaches to Supervised Image Segmentation
While the deep learning approach confirmed its potential for performing image segmentation, the alternative multiset methodology allowed for enhanced accuracy while requiring little computational resources.
Using Full-Text Content to Characterize and Identify Best Seller Books
Such an outcome suggests that it is unfeasible to predict the success of books with high accuracy using only the full content of the texts.
Neuromorphic Networks as Revealed by Features Similarity
Well-separated groups were obtained that provide a rich representation of the main similarity interrelationships between the 735 considered neuronal cells.
Enzyme Similarity Networks
In order to investigate the effect of the considered physicochemical features on the enzymes relationships, the coincidence-based method also is applied to create a meta-network, in which the enzymes similarity networks obtained by the combination of every possible feature becomes nodes of a feature combination network, and the coincidence similarity between those networks defines the respective links.
Text characterization based on recurrence networks
In particular, texts are also characterized by a hierarchical structure that can be approached by using multi-scale concepts and methods.
Multiset Signal Processing and Electronics
Recent generalizations of multisets to real-valued functions, accounting for possibly negative values, have paved the way to a number of interesting implications and applications, including respective implementations as electronic systems.
Multiset Neurons
After presenting the basic concepts related to real-valued multisets and the adopted similarity metrics, including the generalization of the real-valued Jaccard and coincidence indices to higher orders, we proceed to studying the response of a single neuron, not taking into account the output non-linearity (e. g.~sigmoid), respectively to the detection of gaussian two-dimensional stimulus in presence of displacement, magnification, intensity variation, noise and interference from additional patterns.
Comparing Cross Correlation-Based Similarities
The multiset-based correlation methods, and especially the coincidence index, presented remarkable performance characterized by sharper and narrower peaks while secondary peaks were attenuated, which was maintained even in presence of intense levels of noise.
On Similarity
The objective quantification of similarity between two mathematical structures constitutes a recurrent issue in science and technology.
Further Generalizations of the Jaccard Index
The present work addresses further generalizations of this index, including its modification into a coincidence index capable of accounting also for the level of relative interiority between the two compared entities, as well as respective extensions for sets in continuous vector spaces, the generalization to multiset addition, densities and generic scalar fields, as well as a means to quantify the joint interdependence between two random variables.
An Ample Approach to Data and Modeling
The situation in which the data needs to be represented in terms of respective probability densities is treated next, yielding the $M^{<\sigma>}$ meta model, which is then illustrated respectively to a real-world dataset (iris flowers data).
A pattern recognition approach for distinguishing between prose and poetry
Interestingly, by using an approach based on complex networks to visualize the similarities between the different texts considered, we found that the patterns of poetry vary much more than prose.
Revisiting Agglomerative Clustering
An important issue in clustering concerns the avoidance of false positives while searching for clusters.
Toward Generalized Clustering through an One-Dimensional Approach
After generalizing the concept of clusters to incorporate clusters that are linked to other clusters through some relatively narrow bridges, an approach for detecting patches of separation between these clusters is developed based on an agglomerative clustering, more specifically the single-linkage, applied to one-dimensional slices obtained from respective feature spaces.
How Coupled are Mass Spectrometry and Capillary Electrophoresis?
In order to better understand the organization of the citation network, we considered a multi-scale analysis, in which we used the information regarding sub-clusters.
Malleability of complex networks
In this work, we suggest the concept of malleability of a network, which is defined as the exponential of the entropy of the probabilities of each possible unfolding with respect to a given configuration.
Physics and Society Social and Information Networks
Pattern Recognition Approach to Violin Shapes of MIMO database
Since the landmarks established by the Cremonese school in the 16th century, the history of violin design has been marked by experimentation.
Paragraph-based complex networks: application to document classification and authenticity verification
With the increasing number of texts made available on the Internet, many applications have relied on text mining tools to tackle a diversity of problems.
An Image Analysis Approach to the Calligraphy of Books
Text network analysis has received increasing attention as a consequence of its wide range of applications.
Clustering Algorithms: A Comparative Approach
We also found that the default configuration of the adopted implementations was not accurate.
Representation of texts as complex networks: a mesoscopic approach
In order to grasp the mesoscopic characteristics of semantical content in written texts, we devised a network model which is able to analyze documents in a multi-scale fashion.
Complex systems: features, similarity and connectivity
More specifically, the identification of the main areas to which the concepts frequently used in complex networks can be applied paves the way to adopting and applying a larger set of concepts and methods deriving from those respective areas.
Topic segmentation via community detection in complex networks
Many real systems have been modelled in terms of network concepts, and written texts are a particular example of information networks.
Classifying informative and imaginative prose using complex networks
In the latter, many approaches have emphasized the semantical content of texts, as it is the case of bag-of-word language models.
Concentric network symmetry grasps authors' styles in word adjacency networks
A statistical analysis of the symmetry distribution performed in several novels showed that most of the words do not display symmetric patterns of connectivity.
