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Apr 24, 2012
Programming Languages

Towards a Generic Trace for Rule Based Constraint Reasoning

CHR is a very versatile programming language that allows programmers to declaratively specify constraint solvers. An important part of the developmen…
Apr 19, 2018
Machine Learning
Artificial Intelligence

K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection

Dynamic Ensemble Selection (DES) techniques aim to select locally competent classifiers for the classification of each new test sample. Most DES tech…
Jan 05, 2018
Networking and Internet Architecture

Integrated NFV/SDN Architectures: A Systematic Literature Review

Network Functions Virtualization (NFV) and Software-Defined Networking (SDN) are new paradigms in the move towards open software and network hardware…
Oct 31, 2018
Cryptography and Security

Securing IoT Apps with Fine-grained Control of Information Flows

Internet of Things is growing rapidly, with many connected devices now available to consumers. With this growth, the IoT apps that manage the devices…
Nov 01, 2018
Machine Learning

META-DES.Oracle: Meta-learning and feature selection for ensemble s…

The key issue in Dynamic Ensemble Selection (DES) is defining a suitable criterion for calculating the classifiers' competence. There are several cri…
Jan 29, 2019
Cryptography and Security
Software Engineering

Beware of the App! On the Vulnerability Surface of Smart Devices thro…

Internet of Things (IoT) devices are becoming increasingly important. These devices are often resource-limited, hindering rigorous enforcement of sec…
Oct 07, 2011
Statistics Theory
Data Structures and Algorithms
Probability
Methodology
Other Statistics

Dynamic Clustering of Histogram Data Based on Adaptive Squared Wass…

This paper deals with clustering methods based on adaptive distances for histogram data using a dynamic clustering algorithm. Histogram data describe…
Jul 02, 2019
Machine Learning

A Semi-Supervised Self-Organizing Map for Clustering and Classificati…

There has been an increasing interest in semi-supervised learning in the recent years because of the great number of datasets with a large number of …
Jan 04, 2012
Machine Learning

Clustering Dynamic Web Usage Data

Most classification methods are based on the assumption that data conforms to a stationary distribution. The machine learning domain currently suffer…
Nov 02, 2012
Geometric Topology

A state sum invariant of tangles in surfaces

In this paper we define a new state sum based on the regions defined by tangles on a surface which is an oriented closed surface with a finite number…
Oct 01, 2018
Machine Learning

FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic …

Despite being very effective in several classification tasks, Dynamic Ensemble Selection (DES) techniques can select classifiers that classify all sa…
Nov 02, 2018
Machine Learning

A Method For Dynamic Ensemble Selection Based on a Filter and an Ad…

Dynamic classifier selection systems aim to select a group of classifiers that is most adequate for a specific query pattern. This is done by definin…
Oct 29, 2018
Computer Vision

Burst ranking for blind multi-image deblurring

We propose a new incremental aggregation algorithm for multi-image deblurring with automatic image selection. The primary motivation is that current …
Dec 03, 2017
Computer Vision
Artificial Intelligence
Information Retrieval
Neural and Evolutionary Computation
Image and Video Processing

A semi-supervised fuzzy GrowCut algorithm to segment and classify r…

According to the World Health Organization, breast cancer is the most common form of cancer in women. It is the second leading cause of death among w…
May 22, 2013
Neural and Evolutionary Computation

Improving NSGA-II with an Adaptive Mutation Operator

The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired …
Oct 03, 2016
Databases

Pooling Hybrid Representations for Web Structured Data Annotation

Automatically identifying data types of web structured data is a key step in the process of web data integration. Web structured data is usually asso…
Apr 18, 2015
Logic in Computer Science

Inspired by a recent discovery that the propositional equality between terms can be interpreted as a homotopical path, we have revisited the formulation of the intensional identity type, proposing a new approach based on a entity known as computatio…

On the Identity Type as the Type of Computational Paths

We introduce a new way of formalizing the intensional identity type based on the fact that a entity known as computational paths can be interpreted a…
Jan 20, 2019
Computation and Language
Machine Learning

Hierarchical Attentional Hybrid Neural Networks for Document Classi…

Document classification is a challenging task with important applications. Deep learning approaches to the problem have gained much attention. Despit…
Sep 05, 2018
Machine Learning
Artificial Intelligence

Online local pool generation for dynamic classifier selection: an e…

Dynamic Classifier Selection (DCS) techniques have difficulty in selecting the most competent classifier in a pool, even when its presence is assured…
Oct 19, 2018
Computer Vision

Fast and Robust Multiple ColorChecker Detection using Deep Convolutio…

ColorCheckers are reference standards that professional photographers and filmmakers use to ensure predictable results under every lighting condition…
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