Search Results - "Bouchaffra, Djamel"

Exploring topological data analysis for information extraction: application to recognition of Arabic machine-printed numerals by Bouchaffra, Djamel, Ykhlef, Faycal

“…This manuscript explores the capability of topological data analysis (TDA) based on homology theory (HT: a subfield of algebraic topology) to extract relevant…”
Get full text

Machine learning and pattern recognition models in change detection by Bouchaffra, Djamel, Cheriet, Mohamed, Jodoin, Pierre-Marc, Beck, Diane

Get full text

Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition by Bouchaffra, Djamel

“…We introduce a novel formalism that performs dimensionality reduction and captures topological features (such as the shape of the observed data) to conduct…”
Get full text

An efficient ensemble pruning approach based on simple coalitional games by Ykhlef, Hadjer, Bouchaffra, Djamel

“…•A novel methodology for pruning an ensemble of learning models is proposed.•The new technique uses Banzhaf power index and minimal winning coalition…”
Get full text

Lombard effect in Algerian Dialect Speech: Investigation of boosting and bypass strategies in narrowband noisy environment by Ykhlef, Faycal, Bouchaffra, Djamel

“…•An investigation of the influence of narrowband noise stimulus on temporal and spectral modifications of Algerian Dialect (AD) speech was conducted.•The…”
Get full text

Mapping Dynamic Bayesian Networks to [Formula Omitted]-Shapes: Application to Human Faces Identification Across Ages by Bouchaffra, Djamel

“…We propose to map a dynamic Bayesian network (DBN) to an ordered family of [Formula Omitted]-shapes to improve DBNs classification power. This mission is…”
Get full text

Mapping Dynamic Bayesian Networks to \alpha-Shapes: Application to Human Faces Identification Across Ages by Bouchaffra, D.

“…We propose to map a dynamic Bayesian network (DBN) to an ordered family of α -shapes to improve DBNs classification power. This mission is achieved by: 1)…”
Get full text

Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models by Bouchaffra, Djamel

“…Current extensions of hidden Markov models such as structural, hierarchical, coupled, and others have the power to classify complex and highly organized…”
Get full text

Investigations of the potential of acoustic speech regions for detecting hostile talking in Algerian Dialect and German language by Ykhlef, Faycal, Benzaba, Wahiba, Boutaleb, Ratiba, Bouchaffra, Djamel, Derbal, Abdeladhim

“…•A methodology for detecting anger based on speech waves was introduced in Algerian Dialect (AD) and German Language (GL)•The efficiency of speech regions to…”
Get full text

Structural hidden Markov models for biometrics: Fusion of face and fingerprint by Bouchaffra, Djamel, Amira, Abbes

“…The goal of this paper is threefold: (i) propose a novel face and fingerprint feature modeling using the structural hidden Markov models (SHMMs) paradigm, (ii)…”
Get full text

Genetic-based EM algorithm for learning Gaussian mixture models by Pernkopf, F., Bouchaffra, D.

“…We propose a genetic-based expectation-maximization (GA-EM) algorithm for learning Gaussian mixture models from multivariate data. This algorithm is capable of…”
Get full text

Conformation-Based Hidden Markov Models: Application to Human Face Identification by Bouchaffra, D.

“…Hidden Markov models (HMMs) and their variants are capable to classify complex and structured objects. However, one of their major restrictions is their…”
Get full text

Pixel-based or Object-based: Which approach is more appropriate for remote sensing image classification? by Zerrouki, Nabil, Bouchaffra, Djamel

“…We present an overall performance comparison between the two most popular remote sensing image classification approaches which are: Pixel-based and…”
Get full text

Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory by Ykhlef, Hadjer, Bouchaffra, Djamel, Ykhlef, Farid

“…Ensemble methodology combines multiple learning schemes in order to improve the classification performance. An ensemble made of a large number of classifiers…”
Get full text

Feature generation and machine learning for robust multimodal biometrics by Amira, Abbes

Get full text

Topological Dynamic Bayesian Networks by Bouchaffra, Djamel

“…The objective of this research is to embed topology within the dynamic Bayesian network (DBN) formalism. This extension of a DBN (that encodes statistical or…”
Get full text

Structural hidden Markov models for biometrics : Fusion of face and fingerprint : Feacture generation and machine learing for robut multimodal biometrics by BOUCHAFFRA, Djamel, AMIRA, Abbes

Get full text

Feature Selection Scheme Based on Zero-Sum Two-Player Game by Touazi, Azzedine, Mokdad, Fatiha, Bouchaffra, Djamel

“…We propose a new filter methodology for feature selection using the concept of game theory whereby features are assimilated to players. In this game…”
Get full text

Probabilistic logic with minimum perplexity: Application to language modeling by Bouchaffra, Djamel

“…Any statistical model based on training encounters sparse configurations. These data are those that have not been encountered (or seen) during the training…”
Get full text

Coalitional game-based adaboost by Ykhlef, Hadjer, Bouchaffra, Djamel, Ykhlef, Farid

“…In this paper, we introduce a modified Adaboost algorithm, named CGAdaboost, based on cooperative game theory. The algorithm iteratively estimates the value or…”
Get full text