Journée Doctorants & Co Session Poster Présentations Giap Nguyen, Phuong Lai, Tuan Nguyen, Cyril Faucher, Nathalie Girard 24/11/11 Journée Doctorants & Co

Space-filling curves and applications in image processing Giap Nguyen (3rd year) University ScholarShip: 2006-2009, IFI, Hanoi, Vietnam master in computer science 2002-2006, University of Dalat, Vietnam bachelor in mathematics PhD Supervisor(s): Patrick Franco Jean-Marc Ogier Rémy Mullot Funding: Regional allocation (Poitou-Charentes) 24/11/11 Journée Doctorants & Co

Space-filling curves and applications in image processing Research field : Space-filling curves Applications in relation to image processing PhD Objectives : Multidimensionnal extension of space-filling curves Space filling curves generating Space filling curve optimization 24/11/11 Giap Nguyen - Journée Doctorants & Co

Space-filling curves and applications in image processing Approach and techniques: We propose a multidimensional extension of the Hilbert curve, which offers a large family of curve. This proposal is guided by the locality preserving maximization. A curve building process is provided to exceed the cases of few dimensions. 24/11/11 Giap Nguyen - Journée Doctorants & Co

Space-filling curves and applications in image processing Other information: Comparative experimental tests show that there are some curves that preserve the locality better than the Hilbert curve (which is considered to be the best locality preserving curve) and in general, the locality preserving of the family is comparable to that of the Hilbert curve. 24/11/11 Giap Nguyen - Journée Doctorants & Co

Journée Doctorants & Co Towards an interactive index structuring system for contents retrieval in huge image databases Hien Phuong Lai (3rd year) University ScholarShip: PhD Supervisor(s): Muriel VISANI (L3I) Alain BOUCHER (IFI, Hanoi) Jean-Marc OGIER (L3I) Funding: Allocation of the French Ministry 24/11/11 Journée Doctorants & Co

Phuong Lai - Journée Doctorants & Co Towards an interactive index structuring system for contents retrieval in huge image databases Research field : CBIR, unsupervised and semi-supervised clustering Large image database Interactive system PhD Objectives : Involve the user in the clustering phase in order to reduce the semantic gap between the high-level semantic concepts expressed by the user and the low-level features. 24/11/11 Phuong Lai - Journée Doctorants & Co

Phuong Lai - Journée Doctorants & Co Towards an interactive index structuring system for contents retrieval in huge image databases Approach and techniques: Interactive semi-supervised clustering model using HMRF-Kmeans clustering method. The initial clustering is unsupervised, using k-means Repeat: The user gives relevance feedbacks, the system deducts them into the pairwise constraints (must-link and cannot-link) between images. HMRF-Kmeans method is used to re-clustering in order to minimize the sum of distances between the images and the corresponding cluster centers and also the penalties of violated constraints. 24/11/11 Phuong Lai - Journée Doctorants & Co

Phuong Lai - Journée Doctorants & Co Towards an interactive index structuring system for contents retrieval in huge image databases 24/11/11 Phuong Lai - Journée Doctorants & Co

Journée Doctorants & Co Other information: In order to automatically realize the interactive tests, we implement an user agent that simulates the behaviors of the user when interacting with the system. Currently, we are involving the BIRCH clustering method in our interactive model. 24/11/11 Journée Doctorants & Co

Journée Doctorants & Co Simulation platform for decision support Application to the regulation of urban transportation system Quoc Tuan Nguyen (3rd year) University ScholarShip: Hanoi University of Science and Technology PhD Supervisor(s): Pascal ESTRAILLIER Alain BOUJU Funding: 24/11/11 Journée Doctorants & Co

Quoc Tuan Nguyen - Journée Doctorants & Co Simulation platform for decision support Application to the regulation of urban transportation system Research field : Modeling & Simulation Urban transportation system PhD Objectives : Design a simulator for decision support Theoretical framework of modeling Architecture of a software environment that supports the configuration and the adaptive regulation Develop for transportation systems Modeling of transport infrastructure Simulation of user behavior Analyze the impacts of regulation strategies 24/11/11 Quoc Tuan Nguyen - Journée Doctorants & Co

Quoc Tuan Nguyen - Journée Doctorants & Co Simulation platform for decision support Application to the regulation of urban transportation system Approach and techniques: Paradigm of Multi-Agent System Systems of Systems 24/11/11 Quoc Tuan Nguyen - Journée Doctorants & Co

Joint and consistent representation of knowledge by object models Cyril Faucher (3rd year) University ScholarShip: From 2003 to 2009, Software Engineer in different laboratories (CNRS, INRIA, L3i) 2003, DESS ISI, La Rochelle (Master 2 in Computer Science) PhD Supervisor(s): Jean-Yves Lafaye Frédéric Bertrand Funding: RelaxMultiMedias 2, ANR project (French National Research Agency) 24/11/11 Journée Doctorants & Co

Joint and consistent representation of knowledge by object models Research field : Software Engineering Temporal Events PhD Objectives : Modeling periodicity for temporal events Verifying temporal expressions consistency « each 8th day of each Week » « each 8th day of each Month » 24/11/11 Cyril Faucher - Journée Doctorants & Co

Joint and consistent representation of knowledge by object models Approach and techniques: Model Driven Engineering Grammar Constraint Programming Temporal logics Extension of Allen's Temporal Logics Web, iCalendar 24/11/11 Cyril Faucher - Journée Doctorants & Co

Joint and consistent representation of knowledge by object models Other informations: Summer school Further national conferences (+ GDR) 1 international workshop 1 international conference 1 international journal 24/11/11 Cyril Faucher - Journée Doctorants & Co

Journée Doctorants & Co Towards a hybrid approach mixing classification trees and Galois lattices for images indexing Nathalie Girard (4th year) University ScholarShip : From 2001 to 2008, DEUG, Bachelor and Master in La Rochelle Mathematics Computer Science PhD Supervisor(s) : Karell Bertet Muriel Visani Funding : Allocation of the French Ministry 24/11/11 Journée Doctorants & Co

Research field : PhD Objectives : Towards a hybrid approach mixing classification trees and Galois lattices for images indexing Research field : Classification models => Symbolic models Numerical data => Images’ Representation PhD Objectives : Comparative study of decision trees (DT) and the Galois lattices (GL) Development of an hybrid model combining the advantages of DT & GL: readability (DT & GL) robustness (GL) low memory (DT). This model should be adapted to the problems of images' classification 24/11/11 Nathalie Girard - Journée Doctorants & Co

=> According to existing pruning: adaptation of pruning for GL Towards a hybrid approach mixing classification trees and Galois lattices for images indexing Approach and techniques: According to a binary dataset:  DT  GL DT deals with numerical data using discretization Local discretization improves DT performances => According to lattice theory: definition of local discretization for GL DT uses a pruning process to be smaller There exists GL pruning process: stability; filtering => According to existing pruning: adaptation of pruning for GL 24/11/11 Nathalie Girard - Journée Doctorants & Co

Nathalie Girard - Journée Doctorants & Co Towards a hybrid approach mixing classification trees and Galois lattices for images indexing Other information: 3 international conferences: ICTAI 2011, CLA 2011, CLA 2008 1 French journal: Traitement du Signal 2 international workshops: GREC 2009, GREC 2007 1 national conference: SFC 2009 (+ GDR) 1 Summer school: éEGC 2010 Participation in the organization of GREC 2009 in La Rochelle 24/11/11 Nathalie Girard - Journée Doctorants & Co