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Publications
Publications (30)
Microarray technologies become a powerful technique for simultaneously monitoring expression patterns of thousands of genes under different conditions. However, it is important to identify gene groups that manifest similar expression profiles and are activated by similar conditions. ClusterMPP: Clustering by Marked Point Process is a new microarray...
Conventional clustering algorithms optimize a single criterion, which may not conform to diverse needs of multidimensional data science. This paper proposes a new clustering algorithm that solves multiple clustering issues, called clustering by Marked Point Process (ClusterMPP). It is a new, efficient, scalable and unsupervised density-based cluster...
Modern intelligent buildings should be designed to provide comfort and optimal quality of life for occupants. Therefore, smart home devices that allow for the control of actual indoor ambience, which is critical to minimizing dissatisfaction, and simultaneously reduce the energy consumption must be modeled. In this paper, we propose an original mod...
Recent years have witnessed great interest in developing methods for content-based image retrieval (CBIR). Generally, the image search results, which are returned by an image search engine, contain multiple topics, and organizing the results into different clusters will facilitate users’ browsing. Our aim in this research is to optimize image searc...
In this paper, we address the subject of large image database indexing for content-based retrieval. We investigate how high-dimensional indexing methods can be used in a partitioned space into clusters to help the design of an efficient and robust CBIR scheme. We develop a new method for efficient clustering is used for structuring objects in the f...
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Cet article décrit un nouvel algorithme non supervisé de classification des données multidimensionnelles. Il consiste à détecter les prototypes des classes présentes dans un échantillon et à appliquer l’algorithme KNN pour la classification de toutes les observations. La détection des prototypes des classes est basée sur les...
stochastic process for multidimensional data clustering
Understanding a building's ambiance and user's preferences and then providing corresponding comfort is substantial in a smart home environment. In this work, we aim to design a model for an intelligent system (building) controller whose intelligence is adaptation, in changing situations, according to the preferences of occupants without their inter...
This article describes an opinion retrieval approach which aims at retrieving relevant and opinionated documents w.r.t. a query. To detect whether a document is opinionated (i.e. contain subjective information), we compare it with opinionated sources that contain subjective information. The intuition is the following, a document having a strong sim...
In this paper, we are interested in defining the gender of blogger while using only texts written from bloggers. For that purpose, we offer a number of features based on specific words, which were categorized into classes. For each blog, a score is calculated based on these characteristics, thereby determining the gender of its author. The evaluati...
The creation and maintenance of a comfortable internal environment is one of the major concerns of the smart home designers. Indoor comfort depends on the individual's physiology and psychology. It is essential to have a full understanding of occupants' satisfaction in order to maintain a comfortable indoor environment. However, it is important to...
Unsupervised classification has emerged as a popular technique for pattern recognition, image processing and data mining. It has a crucial contribution in the resolution of the problems arising from content-based image retrieval. In this study, we present K_means clustering algorithm that partitions an image database in cluster of images similar. W...
Training a support vector machine (SVM) leads to a quadraticoptimization problem with bound constraints and one linearequality constraint. Despite the fact that this type of problem iswell understood, there are many issues to be considered indesigning an SVM learner. In particular, for large learning taskswith many training examples, off-the-shelf...
Dans cet article nous présentons une simple technique d’initialisation
du k-means dans le but de maximiser la séparabilité et la compacité des groupes
et ceci en choisissant l’objet le plus mal classé comme étant le nouveau centre
du groupe. L’utilisation de cette technique peut se faire soit par intégration
directe dans la phase d’initialisati...
Résumer. Les développements actuels, en matière de technologie liée à l’information numérique, ont permis l’acquisition et le stockage d’une quantité importante d’information, ce qui a engendré la nécessité d'élaborer des systèmes permettant la gestion de ces données (plus particulièrement les bases de données images). La recherche d’images par le...
Depuis le début des années 1990, l'indexation et la recherche par le contenu sont devenues un pôle très actif de la recherche; elle est devevue indipensable aux bases de vidéos afin de répondre aux besoins de plusieurs secteurs comme la télésurveillance, la télévision...etc Cet article décrit notre approche de recherche et d'indexation de vidéos pa...
The multimedia documents design is today an application field which, with the growing complexity of the produced documents (graphic, video, audio animation...), requires an accurate synchronization of the various elements that build up these documents so as they comply with temporal constraints. The present study on multimedia documents rely primar...
Many geographical applications, medical, etc. are brought to manage images which occupy much place memory and which have similar characteristic to be similar or not very different. Sometimes these latter require to work on areas of images, to make the follow-up of the evolution of same areas in various images, to preserve different states from the...