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ClusterTag: Interactive visualization, Clustering and Tagging Tool for Big Image Collections 17

ClusterTag: Interactive Visualization, Clustering and Taggin...

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ACM International conference on Multimedia Retrieval (ICMR)

作者： Pogorelov, Konstantin Riegler, Michael Halvorsen, Pal Griwodz, Carsten Simula Res Lab Fornebu Norway Univ Oslo Oslo Norway

ISBN: (纸本)9781450347013

Exploring and annotating collections of images without meta-data is a complex task which requires convenient ways of presenting datasets to a user. Visual analytics and information visualization can help users by providing interfaces, and in this paper, we present an open source application that allows users from any domain to use feature-based clustering of large image collections to perform explorative browsing and annotation. For this, we use various image feature extraction mechanisms, different unsupervised clustering algorithms and hierarchical image collection visualization. The performance of the presented open source software allows users to process and display thousands of images at the same time by utilizing heterogeneous resources such as GPUs and different optimization techniques.

关键词： Clustering visualization Annotation Big Collections Image Browsing Open Source

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Adversarial Attacks on the Interpretation of Neuron Activation Maximization 38

Adversarial Attacks on the Interpretation of Neuron Activati...

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38th AAAI conference on Artificial Intelligence (AAAI) / 36th conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence

作者： Nanfack, Geraldin Fulleringer, Alexander Marty, Jonathan Eickenberg, Michael Belilovsky, Eugene Concordia Univ Montreal PQ Canada Mila Quebec AI Inst Montreal PQ Canada Princeton Univ Princeton NJ 08544 USA Flatiron Inst New York NY USA

ISBN: (纸本)1577358872

Feature visualization is one of the most popular techniques used to interpret the internal behavior of individual units of trained deep neural networks. Based on activation maximization, they consist of finding synthetic or natural inputs that maximize neuron activations. This paper introduces an optimization framework that aims to deceive feature visualization through adversarial model manipulation. It consists of fine-tuning a pre-trained model with a specifically introduced loss that aims to maintain model performance, while also significantly changing feature visualization. We provide evidence of the success of this manipulation on several pre-trained models for the classification task with ImageNet.

关键词： visualization

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Optimum finite impulse response digital filter design using computational intelligence based optimization algorithms

Optimum finite impulse response digital filter design using ...

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2007 IADIS International conference on Intelligent Systems and Agents, ISA 2007, part of the 1st IADIS Multi conference on Computer Science and Information Systems, MCCSIS 2007

作者： Teixeira, Flávio C.A. Universidade de Brasília Brazil

ISBN: (纸本)9789728924393

In this paper we use computational intelligence numerical optimization techniques to design optimum finite impulse response (FIR) digital filters. Results will be presented and compared with three different numerical optimization techniques developed, including genetic algorithms, simulated annealing and particle swarm optimization. These numerical optimization algorithms will be used in the optimum FIR filter design, specifically applied to the problem of an unconstrained non-linear phase filter with arbitrary magnitude response. © 2007 IADIS.

关键词： Signal processing

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Detail-preserving resampling for parallel volume rendering large unstructured data on earth simulator

Detail-preserving resampling for parallel volume rendering l...

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7th IASTED International conference on Computer Graphics and Imaging

作者： Chen, L Fujishiro, I Nakajima, K Res Org Informat Sci & Technol Tokyo Japan

ISBN: (纸本)0889864187

A new parallel volume rendering method for large unstructured data has been developed for the Earth Simulator. Concurrent visualization can be performed with numerical computation modules on the supercomputer. The supervoxel partition and voxel resampling techniques were adopted to get high parallel performance for extremely large complicated unstructured datasets. In order to reduce the number of voxels and keep enough precision in the resampling method, a detail-preserving voxel resampling method is presented in which some original unstructured grid elements are added into important voxels. Four kinds of details are defined in the method, including volume, interval, boundary and isosurface details. The implementation and optimization strategies for the Earth Simulator are described according to its hardware architecture. The experimental results show the feasibility and effectiveness of the proposed method.

关键词： distributed visualization parallel volume rendering unstructured grids voxel-based rendering Earth Simulator and performance optimization

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Remote visualization for large terrain surfaces based on parallel streaming pipeline architecture

Remote visualization for large terrain surfaces based on par...

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conference on Medical Imaging, Parallel Processing of Images, and optimization techniques

作者： Hu, Chun Tian, Jinwen Ming, Delie Shen, DaJiang Huazhong Univ Sci & Technol State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469533

Datasets of tens of gigabytes are becoming common in computational and experimental science. Providing remote visualization of these large datasets with adequate levels of quality and interactivity is an extremely challenging task, particularly for scientists who collaborate in widely distributed locations and their primary access to visualization resources is a desktop computer. This paper describes a remote visualization system for large-scale terrain rendering based on parallel streaming pipeline architecture. The visualization pipeline is divided in a client-server paradigm to take advantage of the powerful computing and storage resources on the dedicated computers. The two key components of this framework are: view-dependent simplification of the terrain mesh;and a scheme for delivering a minimally necessary subset of triangle strips to any user requesting an interactive visualization session. To verify the effectiveness of proposed schemes and data structures, the prototype system was implemented on China next-generation Internet backbone. Approximate 60GB size image resources for flight simulation were stored centrally in Wuhan, whereas scientists geographically dispersed in Beijing and Shanghai could manipulate and visualize these large 3D datasets in an efficient and flexible way, furthermore, the need for data replication to local desktops was eliminated.

关键词： remote visualization large-scale datasets view-dependent simplification streaming pipeline

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Fast and accurate collision detection using programmable graphics hardware

Fast and accurate collision detection using programmable gra...

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4th IASTED International conference on visualization, Imaging, and Image Processing

作者： Fan, ZW Wan, HG Gao, SM Cai, YY Nanyang Technol Univ Nanyang Ctr Supercomp & Visualisat Singapore 2263 Singapore

ISBN: (纸本)0889864543

We present a novel approach for fast and accurate collision detection using programmable graphics processing unit (GPU). The approach maps the collision detection between two triangular meshes with arbitrary shapes into GPU based streaming computations using floating point buffer. Doing, so. the collision detection problem becomes to use programmable GPU for finding the intersections between a collection of line segments and a set of triangles. Occlusion queries are then employed to inquire about the collision detection result. Several optimization techniques are developed to further improve the efficiency of collision detection. Our approach has been implemented on commodity PC and experimental results are promising.

关键词： collision detection programmable graphics hardware accuracy optimization

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Performance Analysis of Synergistic Fibroblast optimization (SFO) Algorithm

Performance Analysis of Synergistic Fibroblast Optimization ...

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IEEE International conference on Current Trends in Advanced Computing (ICCTAC)

作者： Dhivyaprabha, T. T. Subashini, P. Avinashilingam Inst Home Sci & Higher Educ Women Dept Comp Sci Coimbatore Tamil Nadu India

ISBN: (纸本)9781509049974

In the recent scenarios, Computational Intelligence techniques are widely applied to solve complex scientific and mathematical problems which involve variety and huge volume of data. The characteristics of data have great influence on the behaviour of Nature Inspired Computing (NIC) algorithms to find optimal or near optimal solution while solving non-linear complicated problems. In this paper, the performance of the newly developed Synergistic Fibroblast optimization (SFO) algorithm on solving different real world problems which encompass diverse sort of dataset has been investigated and demonstrated its effectiveness. The significant outcomes have revealed that the novel SFO algorithm is efficient and compatible with various types of data, computational methods and techniques to produce promising results in both qualitative and quantitative perspectives.

关键词： Synergistic Fibroblast optimization (SFO) Fitness evaluation optimization Data analysis visualization

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Improvement of non-linear mapping computation for dimensionality reduction in data visualization and classification

Improvement of non-linear mapping computation for dimensiona...

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4th International conference on Hybrid Intelligent Systems (HIS 04)

作者： Iswandy, K König, A Univ Kaiserslautern Inst Integrated Sensor Syst D-67663 Kaiserslautern Germany

ISBN: (纸本)0769522912

The projection of high-dimensional data by linear or non-linear techniques is a well established technique in pattern recognition and other scientific and industrial application fields. Commonly, methods affiliated to multidimensional-scaling, projection pursuit or Sammons non-linear distance preserving mapping are applied, based on gradient descent techniques. These suffer from well known dependence on initial or starting value and their limited ability to reach only local minimum. In this paper stochastic search techniques are applied to the NLM to achieve lower residual stress or error value in competitive time. Encouraging results have been obtained for a particular developed local algorithm both with regard to convergence time and residual error

关键词： dimensionality reduction non-linear mapping gradient descent optimization stochastic optimization

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optimization for Policy Making: The Cornerstone for an Integrated Approach

Optimization for Policy Making: The Cornerstone for an Integ...

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19th Annual International conference on Principles and Practice of Constraint Programming (CP)

作者： Milano, Michela Univ Bologna DISI I-40136 Bologna Italy

ISBN: (纸本)9783642406263;9783642406270

Policy making is a very complex task taking into account several aspects related to sustainability, namely impact on the environments, health of productive sectors, economic implications and social acceptance. optimization methods could be extremely useful for analysing alternative policy scenarios, but should be complemented with several other techniques such as machine learning, agent-based simulation, opinion mining and visualization to come up with an integrated system able to support decision making in the overall policy design life cycle. I will discuss how these techniques could be merged with optimization and I will identity some open research directions.

关键词： Policy Making Policies Cornerstones visualization Design life Social Acceptance

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On sequential and parallel projection algorithms for feasibility and optimization

On sequential and parallel projection algorithms for feasibi...

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conference on visualization and optimization techniques

作者： Censor, Y Univ Haifa Dept Math IL-31905 Haifa Israel

ISBN: (纸本)081944281X

The convex feasibility problem of finding a point in the intersection of finitely many nonempty closed convex sets in the Euclidean space has many applications in various fields of science and technology, particularly in problems of image reconstruction from projections, in solving the fully discretized inevrse problem in radiation therapy treatment planning, and in other image processing problems. Solving systems of linear equalities and/or inequalities is one of them. Many of the existing algorithms use projections onto the sets and may: (i) employ orthogonal-, entropy-, or other Bregman-projections, (ii) be structurally sequential, parallel, block-iterative, or of the string-averaging type, (iii) asymptotically converge when the underlying system is, or is not, consistent, (iv) solve the convex feasibility problem or find the projection of a given point onto the intersection of the convex sets, (v) have good initial behavior patterns when some of their parameters are appropriately chosen.

关键词： Projection algorithms Block-iterative Bregman projections convex feasibility string-averaging

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