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Title: Meaningful Clustered Forest: an Automatic and Robust Clustering Algorithm |
Abstract: We propose a new clustering technique that can be regarded as a numerical method to compute the proximity gestalt. The method analyzes edge length statistics in the MST of the dataset and provides an a contrario cluster detection criterion. The approach is fully parametric on the chosen distance and can detec... |
Title: Block-Sparse Recovery via Convex Optimization |
Abstract: Given a dictionary that consists of multiple blocks and a signal that lives in the range space of only a few blocks, we study the problem of finding a block-sparse representation of the signal, i.e., a representation that uses the minimum number of blocks. Motivated by signal/image processing and computer vis... |
Title: Online and Batch Learning Algorithms for Data with Missing Features |
Abstract: We introduce new online and batch algorithms that are robust to data with missing features, a situation that arises in many practical applications. In the online setup, we allow for the comparison hypothesis to change as a function of the subset of features that is observed on any given round, extending the s... |
Title: A moving window approach for nonparametric estimation of the conditional tail index |
Abstract: We present a nonparametric family of estimators for the tail index of a Pareto-type distribution when covariate information is available. Our estimators are based on a weighted sum of the log-spacings between some selected observations. This selection is achieved through a moving window approach on the covari... |
Title: Comparison of Weibull tail-coefficient estimators |
Abstract: We address the problem of estimating the Weibull tail-coefficient which is the regular variation exponent of the inverse failure rate function. We propose a family of estimators of this coefficient and an associate extreme quantile estimator. Their asymptotic normality are established and their asymptotic mea... |
Title: Enhanced stiffness modeling of manipulators with passive joints |
Abstract: The paper presents a methodology to enhance the stiffness analysis of serial and parallel manipulators with passive joints. It directly takes into account the loading influence on the manipulator configuration and, consequently, on its Jacobians and Hessians. The main contributions of this paper are the intro... |
Title: A distributed Approach for Access and Visibility Task with a Manikin and a Robot in a Virtual Reality Environment |
Abstract: This paper presents a new method, based on a multi-agent system and on a digital mock-up technology, to assess an efficient path planner for a manikin or a robot for access and visibility task taking into account ergonomic constraints or joint and mechanical limits. In order to solve this problem, the human o... |
Title: Haptic devices and objects, robots and mannequin simulation in a CAD-CAM software: eM-Virtual Desktop |
Abstract: This paper presents the development of a new software in order to manage objects, robots and mannequins in using the possibilities given by the haptic feedback of the Phantom desktop devices. The haptic device provides 6 positional degrees of freedom sensing but three degrees force feedback. This software cal... |
Title: A framework of motion capture system based human behaviours simulation for ergonomic analysis |
Abstract: With the increasing of computer capabilities, Computer aided ergonomics (CAE) offers new possibilities to integrate conventional ergonomic knowledge and to develop new methods into the work design process. As mentioned in [1], different approaches have been developed to enhance the efficiency of the ergonomic... |
Title: Uniqueness domains and non singular assembly mode changing trajectories |
Abstract: Parallel robots admit generally several solutions to the direct kinematics problem. The aspects are associated with the maximal singularity free domains without any singular configurations. Inside these regions, some trajectories are possible between two solutions of the direct kinematic problem without meeti... |
Title: Phase Transitions in Knowledge Compilation: an Experimental Study |
Abstract: Phase transitions in many complex combinational problems have been widely studied in the past decade. In this paper, we investigate phase transitions in the knowledge compilation empirically, where DFA, OBDD and d-DNNF are chosen as the target languages to compile random k-SAT instances. We perform intensive ... |
Title: Generalized double Pareto shrinkage |
Abstract: We propose a generalized double Pareto prior for Bayesian shrinkage estimation and inferences in linear models. The prior can be obtained via a scale mixture of Laplace or normal distributions, forming a bridge between the Laplace and Normal-Jeffreys' priors. While it has a spike at zero like the Laplace dens... |
Title: On Identifying Significant Edges in Graphical Models of Molecular Networks |
Abstract: Objective: Modelling the associations from high-throughput experimental molecular data has provided unprecedented insights into biological pathways and signalling mechanisms. Graphical models and networks have especially proven to be useful abstractions in this regard. Ad-hoc thresholds are often used in conj... |
Title: Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions |
Abstract: We improve existing results in the field of compressed sensing and matrix completion when sampled data may be grossly corrupted. We introduce three new theorems. 1) In compressed sensing, we show that if the m \times n sensing matrix has independent Gaussian entries, then one can recover a sparse signal x exa... |
Title: Tractable Set Constraints |
Abstract: Many fundamental problems in artificial intelligence, knowledge representation, and verification involve reasoning about sets and relations between sets and can be modeled as set constraint satisfaction problems (set CSPs). Such problems are frequently intractable, but there are several important set CSPs tha... |
Title: LTL Control in Uncertain Environments with Probabilistic Satisfaction Guarantees |
Abstract: We present a method to generate a robot control strategy that maximizes the probability to accomplish a task. The task is given as a Linear Temporal Logic (LTL) formula over a set of properties that can be satisfied at the regions of a partitioned environment. We assume that the probabilities with which the p... |
Title: A novel approach for determining fatigue resistances of different muscle groups in static cases |
Abstract: In ergonomics and biomechanics, muscle fatigue models based on maximum endurance time (MET) models are often used to integrate fatigue effect into ergonomic and biomechanical application. However, due to the empirical principle of those MET models, the disadvantages of this method are: 1) the MET models canno... |
Title: Can virtual reality predict body part discomfort and performance of people in realistic world for assembling tasks? |
Abstract: This paper presents our work on relationship of evaluation results between virtual environment (VE) and realistic environment (RE) for assembling tasks. Evaluation results consist of subjective results (BPD and RPE) and objective results (posture and physical performance). Same tasks were performed with same ... |
Title: Planar Cycle Covering Graphs |
Abstract: We describe a new variational lower-bound on the minimum energy configuration of a planar binary Markov Random Field (MRF). Our method is based on adding auxiliary nodes to every face of a planar embedding of the graph in order to capture the effect of unary potentials. A ground state of the resulting approxi... |
Title: Negative Example Aided Transcription Factor Binding Site Search |
Abstract: Computational approaches to transcription factor binding site identification have been actively researched for the past decade. Negative examples have long been utilized in de novo motif discovery and have been shown useful in transcription factor binding site search as well. However, understanding of the rol... |
Title: A Statistical Nonparametric Approach of Face Recognition: Combination of Eigenface & Modified k-Means Clustering |
Abstract: Facial expressions convey non-verbal cues, which play an important role in interpersonal relations. Automatic recognition of human face based on facial expression can be an important component of natural human-machine interface. It may also be used in behavioural science. Although human can recognize the face... |
Title: The Design of a Novel Prismatic Drive for a Three-DOF Parallel-Kinematics Machine |
Abstract: The design of a novel prismatic drive is reported in this paper. This transmission is based on Slide-o-Cam, a cam mechanism with multiple rollers mounted on a common translating follower. The design of Slide-o-Cam was reported elsewhere. This drive thus provides pure-rolling motion, thereby reducing the frict... |
Title: Recursive Shortest Path Algorithm with Application to Density-integration of Weighted Graphs |
Abstract: Graph theory is increasingly commonly utilised in genetics, proteomics and neuroimaging. In such fields, the data of interest generally constitute weighted graphs. Analysis of such weighted graphs often require the integration of topological metrics with respect to the density of the graph. Here, density refe... |
Title: Efficient First Order Methods for Linear Composite Regularizers |
Abstract: A wide class of regularization problems in machine learning and statistics employ a regularization term which is obtained by composing a simple convex function \omega with a linear transformation. This setting includes Group Lasso methods, the Fused Lasso and other total variation methods, multi-task learning... |
Title: Plug-in Approach to Active Learning |
Abstract: We present a new active learning algorithm based on nonparametric estimators of the regression function. Our investigation provides probabilistic bounds for the rates of convergence of the generalization error achievable by proposed method over a broad class of underlying distributions. We also prove minimax ... |
Title: Gaussian Affine Feature Detector |
Abstract: A new method is proposed to get image features' geometric information. Using Gaussian as an input signal, a theoretical optimal solution to calculate feature's affine shape is proposed. Based on analytic result of a feature model, the method is different from conventional iterative approaches. From the model,... |
Title: An Agent-based Architecture for a Knowledge-work Support System |
Abstract: Enhancement of technology-based system support for knowledge workers is an issue of great importance. The "Knowledge work Support System (KwSS)" framework analyzes this issue from a holistic perspective. KwSS proposes a set of design principles for building a comprehensive IT-based support system, which enhan... |
Title: Fuzzy Rules and Evidence Theory for Satellite Image Analysis |
Abstract: Design of a fuzzy rule based classifier is proposed. The performance of the classifier for multispectral satellite image classification is improved using Dempster- Shafer theory of evidence that exploits information of the neighboring pixels. The classifiers are tested rigorously with two known images and the... |
Title: Prosper: image and robot-guided prostate brachytherapy |
Abstract: Brachytherapy for localized prostate cancer consists in destroying cancer by introducing iodine radioactive seeds into the gland through hollow needles. The planning of the position of the seeds and their introduction into the prostate is based on intra-operative ultrasound (US) imaging. We propose to optimiz... |
Title: Physical Simulation of Inarticulate Robots |
Abstract: In this note we study the structure and the behavior of inarticulate robots. We introduce a robot that moves by successive revolvings. The robot's structure is analyzed, simulated and discussed in detail. |
Title: A bio-inspired image coder with temporal scalability |
Abstract: We present a novel bio-inspired and dynamic coding scheme for static images. Our coder aims at reproducing the main steps of the visual stimulus processing in the mammalian retina taking into account its time behavior. The main novelty of this work is to show how to exploit the time behavior of the retina cel... |
Title: Benchmarking the Quality of Diffusion-Weighted Images |
Abstract: We present a novel method that allows for measuring the quality of diffusion-weighted MR images dependent on the image resolution and the image noise. For this purpose, we introduce a new thresholding technique so that noise and the signal can automatically be estimated from a single data set. Thus, no user i... |
Title: Proceedings of the 2011 New York Workshop on Computer, Earth and Space Science |
Abstract: The purpose of the New York Workshop on Computer, Earth and Space Sciences is to bring together the New York area's finest Astronomers, Statisticians, Computer Scientists, Space and Earth Scientists to explore potential synergies between their respective fields. The 2011 edition (CESS2011) was a great success... |
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