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Abstract: Constrained Optimum Path (COP) problems appear in many real-life applications, especially on communication networks. Some of these problems have been considered and solved by specific techniques which are usually difficult to extend. In this paper, we introduce a novel local search modeling for solving some C... |
Title: Dynamic Demand-Capacity Balancing for Air Traffic Management Using Constraint-Based Local Search: First Results |
Abstract: Using constraint-based local search, we effectively model and efficiently solve the problem of balancing the traffic demands on portions of the European airspace while ensuring that their capacity constraints are satisfied. The traffic demand of a portion of airspace is the hourly number of flights planned to... |
Title: On Improving Local Search for Unsatisfiability |
Abstract: Stochastic local search (SLS) has been an active field of research in the last few years, with new techniques and procedures being developed at an astonishing rate. SLS has been traditionally associated with satisfiability solving, that is, finding a solution for a given problem instance, as its intrinsic nat... |
Title: Integrating Conflict Driven Clause Learning to Local Search |
Abstract: This article introduces SatHyS (SAT HYbrid Solver), a novel hybrid approach for propositional satisfiability. It combines local search and conflict driven clause learning (CDCL) scheme. Each time the local search part reaches a local minimum, the CDCL is launched. For SAT problems it behaves like a tabu list,... |
Title: A Constraint-directed Local Search Approach to Nurse Rostering Problems |
Abstract: In this paper, we investigate the hybridization of constraint programming and local search techniques within a large neighbourhood search scheme for solving highly constrained nurse rostering problems. As identified by the research, a crucial part of the large neighbourhood search is the selection of the frag... |
Title: Sonet Network Design Problems |
Abstract: This paper presents a new method and a constraint-based objective function to solve two problems related to the design of optical telecommunication networks, namely the Synchronous Optical Network Ring Assignment Problem (SRAP) and the Intra-ring Synchronous Optical Network Design Problem (IDP). These network... |
Title: Parallel local search for solving Constraint Problems on the Cell Broadband Engine (Preliminary Results) |
Abstract: We explore the use of the Cell Broadband Engine (Cell/BE for short) for combinatorial optimization applications: we present a parallel version of a constraint-based local search algorithm that has been implemented on a multiprocessor BladeCenter machine with twin Cell/BE processors (total of 16 SPUs per blade... |
Title: Toward an automaton Constraint for Local Search |
Abstract: We explore the idea of using finite automata to implement new constraints for local search (this is already a successful technique in constraint-based global search). We show how it is possible to maintain incrementally the violations of a constraint and its decision variables from an automaton that describes... |
Title: Adaboost with "Keypoint Presence Features" for Real-Time Vehicle Visual Detection |
Abstract: We present promising results for real-time vehicle visual detection, obtained with adaBoost using new original ?keypoints presence features?. These weak-classifiers produce a boolean response based on presence or absence in the tested image of a ?keypoint? ( a SURF interest point) with a descriptor sufficien... |
Title: Introducing New AdaBoost Features for Real-Time Vehicle Detection |
Abstract: This paper shows how to improve the real-time object detection in complex robotics applications, by exploring new visual features as AdaBoost weak classifiers. These new features are symmetric Haar filters (enforcing global horizontal and vertical symmetry) and N-connexity control points. Experimental evaluat... |
Title: Visual object categorization with new keypoint-based adaBoost features |
Abstract: We present promising results for visual object categorization, obtained with adaBoost using new original ?keypoints-based features?. These weak-classifiers produce a boolean response based on presence or absence in the tested image of a ?keypoint? (a kind of SURF interest point) with a descriptor sufficiently... |
Title: Modular Traffic Sign Recognition applied to on-vehicle real-time visual detection of American and European speed limit signs |
Abstract: We present a new modular traffic signs recognition system, successfully applied to both American and European speed limit signs. Our sign detection step is based only on shape-detection (rectangles or circles). This enables it to work on grayscale images, contrary to most European competitors, which eases rob... |
Title: Scatter and regularity imply Benford's law... and more |
Abstract: A random variable (r.v.) X is said to follow Benford's law if log(X) is uniform mod 1. Many experimental data sets prove to follow an approximate version of it, and so do many mathematical series and continuous random variables. This phenomenon received some interest, and several explanations have been put fo... |
Title: Proceedings 6th International Workshop on Local Search Techniques in Constraint Satisfaction |
Abstract: LSCS is a satellite workshop of the international conference on principles and practice of Constraint Programming (CP), since 2004. It is devoted to local search techniques in constraint satisfaction, and focuses on all aspects of local search techniques, including: design and implementation of new algorithms... |
Title: Tracking object's type changes with fuzzy based fusion rule |
Abstract: In this paper the behavior of three combinational rules for temporal/sequential attribute data fusion for target type estimation are analyzed. The comparative analysis is based on: Dempster's fusion rule proposed in Dempster-Shafer Theory; Proportional Conflict Redistribution rule no. 5 (PCR5), proposed in De... |
Title: On resolving the Savage-Dickey paradox |
Abstract: The Savage-Dickey ratio is known as a specialised representation of the Bayes factor (O'Hagan and Forster, 2004) that allows for a functional plugging approximation of this quantity. We demonstrate here that the Savage-Dickey representation is in fact a generic representation of the Bayes factor that relies o... |
Title: Moment analysis of the Delaunay tessellation field estimator |
Abstract: The Campbell--Mecke theorem is used to derive explicit expressions for the mean and variance of Schaap and Van de Weygaert's Delaunay tessellation field estimator. Special attention is paid to Poisson processes. |
Title: Ludics and its Applications to natural Language Semantics |
Abstract: Proofs, in Ludics, have an interpretation provided by their counter-proofs, that is the objects they interact with. We follow the same idea by proposing that sentence meanings are given by the counter-meanings they are opposed to in a dialectical interaction. The conception is at the intersection of a proof-t... |
Title: Local and global approaches of affinity propagation clustering for large scale data |
Abstract: Recently a new clustering algorithm called 'affinity propagation' (AP) has been proposed, which efficiently clustered sparsely related data by passing messages between data points. However, we want to cluster large scale data where the similarities are not sparse in many cases. This paper presents two variant... |
Title: Decomposition of forging die for high speed machining |
Abstract: Today's forging die manufacturing process must be adapted to several evolutions in machining process generation: CAD/CAM models, CAM software solutions and High Speed Machining (HSM). In this context, the adequacy between die shape and HSM process is in the core of machining preparation and process planning a... |
Title: Circular tests for HSM machine tools: Bore machining application |
Abstract: Today's High-Speed Machining (HSM) machine tool combines productivity and part quality. The difficulty inherent in HSM operations lies in understanding the impact of machine tool behaviour on machining time and part quality. Analysis of some of the relevant ISO standards (230-1998, 10791-1998) and a complemen... |
Title: Machining strategy choice: performance VIEWER |
Abstract: Nowadays high speed machining (HSM) machine tool combines productivity and part quality. So mould and die maker invested in HSM. Die and mould features are more and more complex shaped. Thus, it is difficult to choose the best machining strategy according to part shape. Geometrical analysis of machining featu... |
Title: Decomposition of forging dies for machining planning |
Abstract: This paper will provide a method to decompose forging dies for machining planning in the case of high speed machining finishing operations. This method lies on a machining feature approach model presented in the following paper. The two main decomposition phases, called Basic Machining Features Extraction and... |
Title: D\'efinition d'une pi\`ece test pour la caract\'erisation d'une machine UGV |
Abstract: In several fields like aeronautics, die and automotive, the machining of the parts is done more and more on high speed machines tools. Today, the offer for purchasing these machine tools is very wide. This situation poses the problem of the judicious and objective choice meeting industrial needs that must be ... |
Title: Scaling Analysis of Affinity Propagation |
Abstract: We analyze and exploit some scaling properties of the Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007). First we observe that a divide and conquer strategy, used on a large data set hierarchically reduces the complexity $\cal O(N^2)$ to $\cal O(N^(h+2)/(h+1))$, for a data-set o... |
Title: Importance Sampling for rare events and conditioned random walks |
Abstract: This paper introduces a new Importance Sampling scheme, called Adaptive Twisted Importance Sampling, which is adequate for the improved estimation of rare event probabilities in he range of moderate deviations pertaining to the empirical mean of real i.i.d. summands. It is based on a sharp approximation of th... |
Title: 3D/2D Registration of Mapping Catheter Images for Arrhythmia Interventional Assistance |
Abstract: Radiofrequency (RF) catheter ablation has transformed treatment for tachyarrhythmias and has become first-line therapy for some tachycardias. The precise localization of the arrhythmogenic site and the positioning of the RF catheter over that site are problematic: they can impair the efficiency of the procedu... |
Title: Color Image Clustering using Block Truncation Algorithm |
Abstract: With the advancement in image capturing device, the image data been generated at high volume. If images are analyzed properly, they can reveal useful information to the human users. Content based image retrieval address the problem of retrieving images relevant to the user needs from image databases on the ba... |
Title: Distributed Object Medical Imaging Model |
Abstract: Digital medical informatics and images are commonly used in hospitals today,. Because of the interrelatedness of the radiology department and other departments, especially the intensive care unit and emergency department, the transmission and sharing of medical images has become a critical issue. Our research... |
Title: Evaluation of Hindi to Punjabi Machine Translation System |
Abstract: Machine Translation in India is relatively young. The earliest efforts date from the late 80s and early 90s. The success of every system is judged from its evaluation experimental results. Number of machine translation systems has been started for development but to the best of author knowledge, no high quali... |
Title: Microstructure reconstruction using entropic descriptors |
Abstract: A multi-scale approach to the inverse reconstruction of a pattern's microstructure is reported. Instead of a correlation function, a pair of entropic descriptors (EDs) is proposed for stochastic optimization method. The first of them measures a spatial inhomogeneity, for a binary pattern, or compositional one... |
Title: Strategies for online inference of model-based clustering in large and growing networks |
Abstract: In this paper we adapt online estimation strategies to perform model-based clustering on large networks. Our work focuses on two algorithms, the first based on the SAEM algorithm, and the second on variational methods. These two strategies are compared with existing approaches on simulated and real data. We u... |
Title: Higher coordination with less control - A result of information maximization in the sensorimotor loop |
Abstract: This work presents a novel learning method in the context of embodied artificial intelligence and self-organization, which has as few assumptions and restrictions as possible about the world and the underlying model. The learning rule is derived from the principle of maximizing the predictive information in t... |
Title: Distributed Learning in Multi-Armed Bandit with Multiple Players |
Abstract: We formulate and study a decentralized multi-armed bandit (MAB) problem. There are M distributed players competing for N independent arms. Each arm, when played, offers i.i.d. reward according to a distribution with an unknown parameter. At each time, each player chooses one arm to play without exchanging obs... |
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