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"abstract": "IEEE Security & Privacy met with several interesting speakers at the 23rd ACM Conference on Computer and Communications Security (CCS), held 24–28 October 2016 in Vienna. This issue features two industry leaders: Intel Lab’s Anand Rajan and Robert Broberg of Cisco Advanced Research and Government. They discuss issues ranging from academia–industry collaboration to emerging technologies and legacy systems.",
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{
"givenName": "Ahmad-Reza",
"surname": "Sadeghi",
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{
"givenName": "Shaza",
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"abstract": "Most techniques for real-time construction of a signed distance field, whether on a CPU or GPU, involve approximate distances. We use a GPU to build an exact adaptive distance field, constructed from an octree by using the Morton code. We use rectangle-swept spheres to construct a bounding volume hierarchy (BVH) around a triangulated model. To speed up BVH construction, we can use a multi-BVH structure to improve the workload balance between GPU processors. An upper bound on distance to the model provided by the octree itself allows us to reduce the number of BVHs involved in determining the distances from the centers of octree nodes at successively lower levels, prior to an exact distance query involving the remaining BVHs. Distance fields can be constructed 35-64 times as fast as a serial CPU implementation of a similar algorithm, allowing us to simulate a piece of fabric interacting with the Stanford Bunny at 20 frames per second.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Most techniques for real-time construction of a signed distance field, whether on a CPU or GPU, involve approximate distances. We use a GPU to build an exact adaptive distance field, constructed from an octree by using the Morton code. We use rectangle-swept spheres to construct a bounding volume hierarchy (BVH) around a triangulated model. To speed up BVH construction, we can use a multi-BVH structure to improve the workload balance between GPU processors. An upper bound on distance to the model provided by the octree itself allows us to reduce the number of BVHs involved in determining the distances from the centers of octree nodes at successively lower levels, prior to an exact distance query involving the remaining BVHs. Distance fields can be constructed 35-64 times as fast as a serial CPU implementation of a similar algorithm, allowing us to simulate a piece of fabric interacting with the Stanford Bunny at 20 frames per second.",
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"normalizedAbstract": "Most techniques for real-time construction of a signed distance field, whether on a CPU or GPU, involve approximate distances. We use a GPU to build an exact adaptive distance field, constructed from an octree by using the Morton code. We use rectangle-swept spheres to construct a bounding volume hierarchy (BVH) around a triangulated model. To speed up BVH construction, we can use a multi-BVH structure to improve the workload balance between GPU processors. An upper bound on distance to the model provided by the octree itself allows us to reduce the number of BVHs involved in determining the distances from the centers of octree nodes at successively lower levels, prior to an exact distance query involving the remaining BVHs. Distance fields can be constructed 35-64 times as fast as a serial CPU implementation of a similar algorithm, allowing us to simulate a piece of fabric interacting with the Stanford Bunny at 20 frames per second.",
"title": "Exact and Adaptive Signed Distance FieldsComputation for Rigid and DeformableModels on GPUs",
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"Octrees",
"Graphics Processing Units",
"Computational Modeling",
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"authors": [
{
"givenName": "Fuchang",
"surname": "Liu",
"fullName": "Fuchang Liu",
"affiliation": "Department of Computer Engineering , Ewha Womans University, Daehyeon-dong 11-1 Seodaemun-gu, South Korea",
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{
"givenName": "Young J.",
"surname": "Kim",
"fullName": "Young J. Kim",
"affiliation": "Department of Computer Engineering , Ewha Womans University, Daehyeon-dong 11-1 Seodaemun-gu, South Korea",
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"id": "proceedings/isca/2014/4396/0/06853208",
"title": "Enabling preemptive multiprogramming on GPUs",
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"title": "2014 ACM/IEEE 41st International Symposium on Computer Architecture (ISCA)",
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"id": "proceedings/sbac-pad/2016/6108/0/6108a042",
"title": "Partitioning GPUs for Improved Scalability",
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"title": "Research on Mahalanobis Distance Algorithm Optimization Based on OpenCL",
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"title": "2014 IEEE International Conference on High Performance Computing and Communications (HPCC), 2014 IEEE 6th International Symposium on Cyberspace Safety and Security (CSS) and 2014 IEEE 11th International Conference on Embedded Software and Systems (ICESS)",
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"id": "proceedings/pdp/2014/2729/0/2729a632",
"title": "Fast Diameter Computation of Large Sparse Graphs Using GPUs",
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"abstractUrl": "/proceedings-article/pdp/2014/2729a632/12OmNvT2oLm",
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"title": "2014 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)",
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"id": "proceedings/cbd/2017/1072/0/1072a013",
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"title": "2017 Fifth International Conference on Advanced Cloud and Big Data (CBD)",
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"id": "proceedings/candar/2014/4152/0/4152a347",
"title": "An Exact Dynamic Programming Based Method to Solve Optimisation Problems Using GPUs",
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"title": "2014 Second International Symposium on Computing and Networking (CANDAR)",
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"id": "proceedings/icpads/2014/7615/0/07097874",
"title": "Fast GPU parallel N-Body tree traversal with Simulated Wide-Warp",
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"title": "2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS)",
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{
"id": "trans/td/2018/05/08241384",
"title": "G-ML-Octree: An Update-Efficient Index Structure for Simulating 3D Moving Objects Across GPUs",
"doi": null,
"abstractUrl": "/journal/td/2018/05/08241384/13rRUwInvsy",
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"title": "IEEE Transactions on Parallel & Distributed Systems",
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"id": "trans/tg/2018/03/07857089",
"title": "Parallel Locally-Ordered Clustering for Bounding Volume Hierarchy Construction",
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"abstractUrl": "/journal/tg/2018/03/07857089/13rRUx0gevb",
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"title": "IEEE Transactions on Visualization & Computer Graphics",
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{
"id": "trans/tg/2018/12/08219711",
"title": "Chunked Bounding Volume Hierarchies for Fast Digital Prototyping Using Volumetric Meshes",
"doi": null,
"abstractUrl": "/journal/tg/2018/12/08219711/14H4WN3R0By",
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"title": "IEEE Transactions on Visualization & Computer Graphics",
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{
"issue": {
"id": "12OmNyQGSaK",
"title": "April-June",
"year": "2017",
"issueNum": "02",
"idPrefix": "th",
"pubType": "journal",
"volume": "10",
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"article": {
"id": "13rRUxDqS8u",
"doi": "10.1109/TOH.2016.2613872",
"abstract": "We present an algorithm for fast continuous collision detection between points and signed distance fields, and demonstrate how to robustly use it for 6-DoF haptic rendering of contact between objects with complex geometry. Continuous collision detection is often needed in computer animation, haptics, and virtual reality applications, but has so far only been investigated for polygon (triangular) geometry representations. We demonstrate how to robustly and continuously detect intersections between points and level sets of the signed distance field. We suggest using an octree subdivision of the distance field for fast traversal of distance field cells. We also give a method to resolve continuous collisions between point clouds organized into a tree hierarchy and a signed distance field, enabling rendering of contact between rigid objects with complex geometry. We investigate and compare two 6-DoF haptic rendering methods now applicable to point-versus-distance field contact for the first time: continuous integration of penalty forces, and a constraint-based method. An experimental comparison to discrete collision detection demonstrates that the continuous method is more robust and can correctly resolve collisions even under high velocities and during complex contact.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We present an algorithm for fast continuous collision detection between points and signed distance fields, and demonstrate how to robustly use it for 6-DoF haptic rendering of contact between objects with complex geometry. Continuous collision detection is often needed in computer animation, haptics, and virtual reality applications, but has so far only been investigated for polygon (triangular) geometry representations. We demonstrate how to robustly and continuously detect intersections between points and level sets of the signed distance field. We suggest using an octree subdivision of the distance field for fast traversal of distance field cells. We also give a method to resolve continuous collisions between point clouds organized into a tree hierarchy and a signed distance field, enabling rendering of contact between rigid objects with complex geometry. We investigate and compare two 6-DoF haptic rendering methods now applicable to point-versus-distance field contact for the first time: continuous integration of penalty forces, and a constraint-based method. An experimental comparison to discrete collision detection demonstrates that the continuous method is more robust and can correctly resolve collisions even under high velocities and during complex contact.",
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"normalizedAbstract": "We present an algorithm for fast continuous collision detection between points and signed distance fields, and demonstrate how to robustly use it for 6-DoF haptic rendering of contact between objects with complex geometry. Continuous collision detection is often needed in computer animation, haptics, and virtual reality applications, but has so far only been investigated for polygon (triangular) geometry representations. We demonstrate how to robustly and continuously detect intersections between points and level sets of the signed distance field. We suggest using an octree subdivision of the distance field for fast traversal of distance field cells. We also give a method to resolve continuous collisions between point clouds organized into a tree hierarchy and a signed distance field, enabling rendering of contact between rigid objects with complex geometry. We investigate and compare two 6-DoF haptic rendering methods now applicable to point-versus-distance field contact for the first time: continuous integration of penalty forces, and a constraint-based method. An experimental comparison to discrete collision detection demonstrates that the continuous method is more robust and can correctly resolve collisions even under high velocities and during complex contact.",
"title": "6-DoF Haptic Rendering Using Continuous Collision Detection between Points and Signed Distance Fields",
"normalizedTitle": "6-DoF Haptic Rendering Using Continuous Collision Detection between Points and Signed Distance Fields",
"fno": "07577891",
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"keywords": [
"Collision Avoidance",
"Haptic Interfaces",
"Rendering Computer Graphics",
"Geometry",
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"Robustness",
"Octrees",
"Haptics",
"6 Do F",
"Continuous Collision Detection",
"Signed Distance Fields",
"Contact",
"Constraints",
"Penalty Forces"
],
"authors": [
{
"givenName": "Hongyi",
"surname": "Xu",
"fullName": "Hongyi Xu",
"affiliation": "Department of Computer Science, University of Southern California, Los Angeles, CA",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Jernej",
"surname": "Barbič",
"fullName": "Jernej Barbič",
"affiliation": "Department of Computer Science, University of Southern California, Los Angeles, CA",
"__typename": "ArticleAuthorType"
}
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"issueNum": "02",
"pubDate": "2017-04-01 00:00:00",
"pubType": "trans",
"pages": "151-161",
"year": "2017",
"issn": "1939-1412",
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{
"id": "proceedings/whc/2009/3858/0/04810910",
"title": "Six-DoF haptic rendering of contact between geometrically complex reduced deformable models: Haptic demo",
"doi": null,
"abstractUrl": "/proceedings-article/whc/2009/04810910/12OmNAXPy2W",
"parentPublication": {
"id": "proceedings/whc/2009/3858/0",
"title": "World Haptics Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccsa/2011/4404/0/4404a017",
"title": "Modular System for Haptic Interaction with Multi-contact Collision Detection",
"doi": null,
"abstractUrl": "/proceedings-article/iccsa/2011/4404a017/12OmNweBUNh",
"parentPublication": {
"id": "proceedings/iccsa/2011/4404/0",
"title": "2011 International Conference on Computational Science and Its Applications",
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{
"id": "proceedings/vr/2018/3365/0/08446527",
"title": "Realtime Collision Avoidance for Mechanisms with Complex Geometries",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2018/08446527/13bd1fdV4lV",
"parentPublication": {
"id": "proceedings/vr/2018/3365/0",
"title": "2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
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},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/th/2008/01/tth2008010039",
"title": "Six-DoF Haptic Rendering of Contact Between Geometrically Complex Reduced Deformable Models",
"doi": null,
"abstractUrl": "/journal/th/2008/01/tth2008010039/13rRUEgarBB",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
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},
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{
"id": "trans/tp/2008/04/ttp2008040686",
"title": "Hole Filling of a 3D Model by Flipping Signs of a Signed Distance Field in Adaptive Resolution",
"doi": null,
"abstractUrl": "/journal/tp/2008/04/ttp2008040686/13rRUEgarCp",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
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},
{
"id": "trans/tg/2017/10/07987773",
"title": "An Z_$_$_ZhpZ_$_$_Z-Adaptive Discretization Algorithm for Signed Distance Field Generation",
"doi": null,
"abstractUrl": "/journal/tg/2017/10/07987773/13rRUIM2VBL",
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"title": "IEEE Transactions on Visualization & Computer Graphics",
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{
"id": "trans/tg/2014/05/06684160",
"title": "Exact and Adaptive Signed Distance FieldsComputation for Rigid and DeformableModels on GPUs",
"doi": null,
"abstractUrl": "/journal/tg/2014/05/06684160/13rRUwcS1CV",
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"title": "IEEE Transactions on Visualization & Computer Graphics",
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{
"id": "trans/tg/2007/03/v0518",
"title": "Efficient Collision Detection within Deforming Spherical Sliding Contact",
"doi": null,
"abstractUrl": "/journal/tg/2007/03/v0518/13rRUwgyOje",
"parentPublication": {
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"title": "IEEE Transactions on Visualization & Computer Graphics",
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{
"id": "trans/th/2016/03/07458897",
"title": "Adaptive 6-DoF Haptic Contact Stiffness Using the Gauss Map",
"doi": null,
"abstractUrl": "/journal/th/2016/03/07458897/13rRUyeCkav",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
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{
"id": "proceedings/vr/2019/1377/0/08798268",
"title": "A Continuous Material Cutting Model with Haptic Feedback for Medical Simulations",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08798268/1cJ0Ir5EpRm",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
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{
"issue": {
"id": "1zarv24nAkg",
"title": "Nov.-Dec.",
"year": "2021",
"issueNum": "06",
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"pubType": "journal",
"volume": "18",
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"article": {
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"doi": "10.1109/TCBB.2020.2993002",
"abstract": "Genome rearrangements are mutations affecting large portions of a genome, and a reversal is one of the most studied genome rearrangements in the literature through the Sorting by Reversals (SbR) problem. SbR is solvable in polynomial time on signed permutations (i.e., the gene orientation is known), and it is NP-hard on unsigned permutations. This problem (and many others considering genome rearrangements) models genome as a list of its genes in the order they appear, ignoring all other information present in the genome. Recent works claimed that the incorporation of the size of intergenic regions, i.e., sequences of nucleotides between genes, may result in better estimators for the real distance between genomes. Here we introduce the Sorting Signed Permutations by Intergenic Reversals problem, that sorts a signed permutation using reversals both on gene order and intergenic sizes. We show that this problem is NP-hard by a reduction from the 3-partition problem. Then, we propose a 2-approximation algorithm for it. Finally, we also incorporate intergenic indels (i.e., insertions or deletions of intergenic regions) to overcome a limitation of sorting by conservative events (such as reversals) and propose two approximation algorithms.",
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"content": "Genome rearrangements are mutations affecting large portions of a genome, and a reversal is one of the most studied genome rearrangements in the literature through the Sorting by Reversals (SbR) problem. SbR is solvable in polynomial time on signed permutations (i.e., the gene orientation is known), and it is NP-hard on unsigned permutations. This problem (and many others considering genome rearrangements) models genome as a list of its genes in the order they appear, ignoring all other information present in the genome. Recent works claimed that the incorporation of the size of intergenic regions, i.e., sequences of nucleotides between genes, may result in better estimators for the real distance between genomes. Here we introduce the Sorting Signed Permutations by Intergenic Reversals problem, that sorts a signed permutation using reversals both on gene order and intergenic sizes. We show that this problem is NP-hard by a reduction from the 3-partition problem. Then, we propose a 2-approximation algorithm for it. Finally, we also incorporate intergenic indels (i.e., insertions or deletions of intergenic regions) to overcome a limitation of sorting by conservative events (such as reversals) and propose two approximation algorithms.",
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"title": "Sorting Signed Permutations by Intergenic Reversals",
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"Approximation Theory",
"Bioinformatics",
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"Sorting Signed Permutations",
"Reversal",
"Studied Genome Rearrangements",
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"Intergenic Regions",
"Intergenic Reversals Problem",
"Sorts",
"Gene Order",
"Intergenic Sizes",
"3 Partition Problem",
"Intergenic Indels",
"Genomics",
"Bioinformatics",
"Sorting",
"Approximation Algorithms",
"Electronic Mail",
"Transforms",
"Time Complexity",
"Genome Rearrangements",
"Intergenic Regions",
"Signed Permutations",
"Reversals"
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"givenName": "Andre Rodrigues",
"surname": "Oliveira",
"fullName": "Andre Rodrigues Oliveira",
"affiliation": "Institute of Computing, University of Campinas, Campinas, Brazil",
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"givenName": "Géraldine",
"surname": "Jean",
"fullName": "Géraldine Jean",
"affiliation": "LS2N CNRS UMR 6004, University of Nantes, Nantes, Cedex 3, France",
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"givenName": "Guillaume",
"surname": "Fertin",
"fullName": "Guillaume Fertin",
"affiliation": "LS2N CNRS UMR 6004, University of Nantes, Nantes, Cedex 3, France",
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"givenName": "Klairton Lima",
"surname": "Brito",
"fullName": "Klairton Lima Brito",
"affiliation": "Institute of Computing, University of Campinas, Campinas, Brazil",
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"givenName": "Laurent",
"surname": "Bulteau",
"fullName": "Laurent Bulteau",
"affiliation": "LIGM CNRS UMR 8049, University of Paris-Est Marne-la-Vallée, 77454, Marne-la-Vallée, France",
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"givenName": "Ulisses",
"surname": "Dias",
"fullName": "Ulisses Dias",
"affiliation": "School of Technology, University of Campinas, Limeira, Brazil",
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"givenName": "Zanoni",
"surname": "Dias",
"fullName": "Zanoni Dias",
"affiliation": "Institute of Computing, University of Campinas, Campinas, Brazil",
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"abstract": "Recently, many stochastic variance reduced alternating direction methods of multipliers (ADMMs) (e.g., SAG-ADMM and SVRG-ADMM) have made exciting progress such as linear convergence rate for strongly convex (SC) problems. However, their best-known convergence rate for non-strongly convex (non-SC) problems is <inline-formula><tex-math notation=\"LaTeX\">Z_$\\mathcal {O}(1/T)$_Z</tex-math></inline-formula> as opposed to <inline-formula><tex-math notation=\"LaTeX\">Z_$\\mathcal {O}(1/T^2)$_Z</tex-math></inline-formula> of accelerated deterministic algorithms, where <inline-formula><tex-math notation=\"LaTeX\">Z_$T$_Z</tex-math></inline-formula> is the number of iterations. Thus, there remains a gap in the convergence rates of existing stochastic ADMM and deterministic algorithms. To bridge this gap, we introduce a new momentum acceleration trick into stochastic variance reduced ADMM, and propose a novel accelerated SVRG-ADMM method (called ASVRG-ADMM) for the machine learning problems with the constraint <inline-formula><tex-math notation=\"LaTeX\">Z_$Ax + By = c$_Z</tex-math></inline-formula>. Then we design a linearized proximal update rule and a simple proximal one for the two classes of ADMM-style problems with <inline-formula><tex-math notation=\"LaTeX\">Z_$B = \\tau I$_Z</tex-math></inline-formula> and <inline-formula><tex-math notation=\"LaTeX\">Z_$B\\ne \\tau I$_Z</tex-math></inline-formula>, respectively, where <inline-formula><tex-math notation=\"LaTeX\">Z_$I$_Z</tex-math></inline-formula> is an identity matrix and <inline-formula><tex-math notation=\"LaTeX\">Z_$\\tau$_Z</tex-math></inline-formula> is an arbitrary bounded constant. Note that our linearized proximal update rule can avoid solving sub-problems iteratively. Moreover, we prove that ASVRG-ADMM converges linearly for SC problems. In particular, ASVRG-ADMM improves the convergence rate from <inline-formula><tex-math notation=\"LaTeX\">Z_$\\mathcal {O}(1/T)$_Z</tex-math></inline-formula> to <inline-formula><tex-math notation=\"LaTeX\">Z_$\\mathcal {O}(1/T^2)$_Z</tex-math></inline-formula> for non-SC problems. Finally, we apply ASVRG-ADMM to various machine learning problems, e.g., graph-guided fused Lasso, graph-guided logistic regression, graph-guided SVM, generalized graph-guided fused Lasso and multi-task learning, and show that ASVRG-ADMM consistently converges faster than the state-of-the-art methods.",
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"content": "Recently, many stochastic variance reduced alternating direction methods of multipliers (ADMMs) (e.g., SAG-ADMM and SVRG-ADMM) have made exciting progress such as linear convergence rate for strongly convex (SC) problems. However, their best-known convergence rate for non-strongly convex (non-SC) problems is <inline-formula><tex-math notation=\"LaTeX\">$\\mathcal {O}(1/T)$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant=\"script\">O</mml:mi><mml:mo>(</mml:mo><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href=\"shang-ieq1-3000512.gif\"/></alternatives></inline-formula> as opposed to <inline-formula><tex-math notation=\"LaTeX\">$\\mathcal {O}(1/T^2)$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant=\"script\">O</mml:mi><mml:mo>(</mml:mo><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:msup><mml:mi>T</mml:mi><mml:mn>2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href=\"shang-ieq2-3000512.gif\"/></alternatives></inline-formula> of accelerated deterministic algorithms, where <inline-formula><tex-math notation=\"LaTeX\">$T$</tex-math><alternatives><mml:math><mml:mi>T</mml:mi></mml:math><inline-graphic xlink:href=\"shang-ieq3-3000512.gif\"/></alternatives></inline-formula> is the number of iterations. Thus, there remains a gap in the convergence rates of existing stochastic ADMM and deterministic algorithms. To bridge this gap, we introduce a new momentum acceleration trick into stochastic variance reduced ADMM, and propose a novel accelerated SVRG-ADMM method (called ASVRG-ADMM) for the machine learning problems with the constraint <inline-formula><tex-math notation=\"LaTeX\">$Ax + By = c$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>A</mml:mi><mml:mi>x</mml:mi><mml:mo>+</mml:mo><mml:mi>B</mml:mi><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mi>c</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href=\"shang-ieq4-3000512.gif\"/></alternatives></inline-formula>. Then we design a linearized proximal update rule and a simple proximal one for the two classes of ADMM-style problems with <inline-formula><tex-math notation=\"LaTeX\">$B = \\tau I$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>B</mml:mi><mml:mo>=</mml:mo><mml:mi>τ</mml:mi><mml:mi>I</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href=\"shang-ieq5-3000512.gif\"/></alternatives></inline-formula> and <inline-formula><tex-math notation=\"LaTeX\">$B\\ne \\tau I$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>B</mml:mi><mml:mo>≠</mml:mo><mml:mi>τ</mml:mi><mml:mi>I</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href=\"shang-ieq6-3000512.gif\"/></alternatives></inline-formula>, respectively, where <inline-formula><tex-math notation=\"LaTeX\">$I$</tex-math><alternatives><mml:math><mml:mi>I</mml:mi></mml:math><inline-graphic xlink:href=\"shang-ieq7-3000512.gif\"/></alternatives></inline-formula> is an identity matrix and <inline-formula><tex-math notation=\"LaTeX\">$\\tau$</tex-math><alternatives><mml:math><mml:mi>τ</mml:mi></mml:math><inline-graphic xlink:href=\"shang-ieq8-3000512.gif\"/></alternatives></inline-formula> is an arbitrary bounded constant. Note that our linearized proximal update rule can avoid solving sub-problems iteratively. Moreover, we prove that ASVRG-ADMM converges linearly for SC problems. In particular, ASVRG-ADMM improves the convergence rate from <inline-formula><tex-math notation=\"LaTeX\">$\\mathcal {O}(1/T)$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant=\"script\">O</mml:mi><mml:mo>(</mml:mo><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href=\"shang-ieq9-3000512.gif\"/></alternatives></inline-formula> to <inline-formula><tex-math notation=\"LaTeX\">$\\mathcal {O}(1/T^2)$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant=\"script\">O</mml:mi><mml:mo>(</mml:mo><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:msup><mml:mi>T</mml:mi><mml:mn>2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href=\"shang-ieq10-3000512.gif\"/></alternatives></inline-formula> for non-SC problems. Finally, we apply ASVRG-ADMM to various machine learning problems, e.g., graph-guided fused Lasso, graph-guided logistic regression, graph-guided SVM, generalized graph-guided fused Lasso and multi-task learning, and show that ASVRG-ADMM consistently converges faster than the state-of-the-art methods.",
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"normalizedAbstract": "Recently, many stochastic variance reduced alternating direction methods of multipliers (ADMMs) (e.g., SAG-ADMM and SVRG-ADMM) have made exciting progress such as linear convergence rate for strongly convex (SC) problems. However, their best-known convergence rate for non-strongly convex (non-SC) problems is - as opposed to - of accelerated deterministic algorithms, where - is the number of iterations. Thus, there remains a gap in the convergence rates of existing stochastic ADMM and deterministic algorithms. To bridge this gap, we introduce a new momentum acceleration trick into stochastic variance reduced ADMM, and propose a novel accelerated SVRG-ADMM method (called ASVRG-ADMM) for the machine learning problems with the constraint -. Then we design a linearized proximal update rule and a simple proximal one for the two classes of ADMM-style problems with - and -, respectively, where - is an identity matrix and - is an arbitrary bounded constant. Note that our linearized proximal update rule can avoid solving sub-problems iteratively. Moreover, we prove that ASVRG-ADMM converges linearly for SC problems. In particular, ASVRG-ADMM improves the convergence rate from - to - for non-SC problems. Finally, we apply ASVRG-ADMM to various machine learning problems, e.g., graph-guided fused Lasso, graph-guided logistic regression, graph-guided SVM, generalized graph-guided fused Lasso and multi-task learning, and show that ASVRG-ADMM consistently converges faster than the state-of-the-art methods.",
"title": "Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning",
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"Convergence",
"Convex Programming",
"Deterministic Algorithms",
"Graph Theory",
"Learning Artificial Intelligence",
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"Regression Analysis",
"Stochastic Processes",
"Support Vector Machines",
"Alternating Direction Methods Of Multipliers",
"Accelerated Variance Reduction Stochastic",
"Large Scale Machine Learning",
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"Convergence Rate",
"Nonstrongly Convex",
"Non SC",
"Deterministic Algorithms",
"SVRG ADMM Method",
"Machine Learning Problems",
"Linearized Proximal Update Rule",
"Graph Guided Logistic Regression",
"Graph Guided Fused Lasso",
"Graph Guided SVM",
"Convex Functions",
"Large Scale Systems",
"Convergence",
"Stochastic Processes",
"Optimization",
"Machine Learning",
"Complexity Theory",
"Stochastic Optimization",
"ADMM",
"Variance Reduction",
"Momentum Acceleration",
"Strongly Convex And Non Strongly Convex",
"Smooth And Non Smooth"
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"givenName": "Yuanyuan",
"surname": "Liu",
"fullName": "Yuanyuan Liu",
"affiliation": "Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, China",
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"givenName": "Fanhua",
"surname": "Shang",
"fullName": "Fanhua Shang",
"affiliation": "Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, China",
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"givenName": "Hongying",
"surname": "Liu",
"fullName": "Hongying Liu",
"affiliation": "Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, China",
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"givenName": "Lin",
"surname": "Kong",
"fullName": "Lin Kong",
"affiliation": "Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, China",
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"givenName": "Licheng",
"surname": "Jiao",
"fullName": "Licheng Jiao",
"affiliation": "Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, China",
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"givenName": "Zhouchen",
"surname": "Lin",
"fullName": "Zhouchen Lin",
"affiliation": "Key Laboratory of Machine Perception (MoE), School of EECS, Peking University, Beijing, China",
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"abstract": "Ferrofluids are oil-based liquids containing magnetic particles that interact with magnetic fields without solidifying. Leveraging the exploration of new applications of these promising materials (such as in optics, medicine and engineering) requires high fidelity modeling and simulation capabilities in order to accurately explore ferrofluids <italic>in silico</italic>. While recent work addressed the macroscopic simulation of large-scale ferrofluids using smoothed-particle hydrodynamics (SPH), such simulations are computationally expensive. In their work, the Kelvin force model has been used to calculate interactions between different SPH particles. The application of this model results in a force pointing outwards with respect to the fluid surface causing significant levitation problems. This drawback limits the application of more advanced and efficient SPH frameworks such as divergence-free SPH (DFSPH) or implicit incompressible SPH (IISPH). In this contribution, we propose a current loop magnetic force model which enables the fast macroscopic simulation of ferrofluids. Our new force model results in a force term pointing inwards allowing for more stable and fast simulations of ferrofluids using DFSPH and IISPH.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Ferrofluids are oil-based liquids containing magnetic particles that interact with magnetic fields without solidifying. Leveraging the exploration of new applications of these promising materials (such as in optics, medicine and engineering) requires high fidelity modeling and simulation capabilities in order to accurately explore ferrofluids <italic>in silico</italic>. While recent work addressed the macroscopic simulation of large-scale ferrofluids using smoothed-particle hydrodynamics (SPH), such simulations are computationally expensive. In their work, the Kelvin force model has been used to calculate interactions between different SPH particles. The application of this model results in a force pointing outwards with respect to the fluid surface causing significant levitation problems. This drawback limits the application of more advanced and efficient SPH frameworks such as divergence-free SPH (DFSPH) or implicit incompressible SPH (IISPH). In this contribution, we propose a current loop magnetic force model which enables the fast macroscopic simulation of ferrofluids. Our new force model results in a force term pointing inwards allowing for more stable and fast simulations of ferrofluids using DFSPH and IISPH.",
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"normalizedAbstract": "Ferrofluids are oil-based liquids containing magnetic particles that interact with magnetic fields without solidifying. Leveraging the exploration of new applications of these promising materials (such as in optics, medicine and engineering) requires high fidelity modeling and simulation capabilities in order to accurately explore ferrofluids in silico. While recent work addressed the macroscopic simulation of large-scale ferrofluids using smoothed-particle hydrodynamics (SPH), such simulations are computationally expensive. In their work, the Kelvin force model has been used to calculate interactions between different SPH particles. The application of this model results in a force pointing outwards with respect to the fluid surface causing significant levitation problems. This drawback limits the application of more advanced and efficient SPH frameworks such as divergence-free SPH (DFSPH) or implicit incompressible SPH (IISPH). In this contribution, we propose a current loop magnetic force model which enables the fast macroscopic simulation of ferrofluids. Our new force model results in a force term pointing inwards allowing for more stable and fast simulations of ferrofluids using DFSPH and IISPH.",
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"abstract": "Mixed Reality (MR) applications along Milgram's Reality-Virtuality (RV) continuum motivated a number of recent theories on potential constructs and factors describing MR experiences. This paper investigates the impact of incongruencies that are processed on different information processing layers (i.e., sensation/perception and cognition layer) to provoke breaks in plausibility. It examines the effects on spatial and overall presence as prominent constructs of Virtual Reality (VR). We developed a simulated maintenance application to test virtual electrical devices. Participants performed test operations on these devices in a counterbalanced, randomized 2×2 between-subject design in either VR as congruent or Augmented Reality (AR) as incongruent on the sensation/perception layer. Cognitive incongruence was induced by the absence of traceable power outages, decoupling perceived cause and effect after activating potentially defective devices. Our results indicate that the effects of the power outages differ significantly in the perceived plausibility and spatial presence ratings between VR and AR. Both ratings decreased for the AR condition (incongruent sensation/perception) compared to VR (congruent sensation/perception) for the congruent cognitive case but increased for the incongruent cognitive case. The results are discussed and put into perspective in the scope of recent theories of MR experiences.",
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"content": "Mixed Reality (MR) applications along Milgram's Reality-Virtuality (RV) continuum motivated a number of recent theories on potential constructs and factors describing MR experiences. This paper investigates the impact of incongruencies that are processed on different information processing layers (i.e., sensation/perception and cognition layer) to provoke breaks in plausibility. It examines the effects on spatial and overall presence as prominent constructs of Virtual Reality (VR). We developed a simulated maintenance application to test virtual electrical devices. Participants performed test operations on these devices in a counterbalanced, randomized 2×2 between-subject design in either VR as congruent or Augmented Reality (AR) as incongruent on the sensation/perception layer. Cognitive incongruence was induced by the absence of traceable power outages, decoupling perceived cause and effect after activating potentially defective devices. Our results indicate that the effects of the power outages differ significantly in the perceived plausibility and spatial presence ratings between VR and AR. Both ratings decreased for the AR condition (incongruent sensation/perception) compared to VR (congruent sensation/perception) for the congruent cognitive case but increased for the incongruent cognitive case. The results are discussed and put into perspective in the scope of recent theories of MR experiences.",
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"abstract": "A novel approach to camera calibration by vanishing lines is proposed. Calibrated parameters include the orientation, position, and focal length of a camera. A hexagon is used as the calibration target to generate a vanishing line of the ground plane from its projected image. It is shown that the vanishing line includes useful geometric hints about the camera orientation parameters and the focal length, from which the orientation parameters can be solved easily and analytically. And the camera position parameters can be calibrated by the use of related geometric projective relationships. The simplicity of the target eliminates the complexity of the environment setup and simplifies the feature extraction in relevant image processing. The calibration formulas are also simple to compute. Experimental results show the feasibility of the proposed approach.",
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"content": "A novel approach to camera calibration by vanishing lines is proposed. Calibrated parameters include the orientation, position, and focal length of a camera. A hexagon is used as the calibration target to generate a vanishing line of the ground plane from its projected image. It is shown that the vanishing line includes useful geometric hints about the camera orientation parameters and the focal length, from which the orientation parameters can be solved easily and analytically. And the camera position parameters can be calibrated by the use of related geometric projective relationships. The simplicity of the target eliminates the complexity of the environment setup and simplifies the feature extraction in relevant image processing. The calibration formulas are also simple to compute. Experimental results show the feasibility of the proposed approach.",
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"abstract": "The present study investigated whether a tactile flow created by a matrix of vibrators in a seat pan simultaneously presented with an optical flow in peripheral vision enhances the perceived forward velocity of self-motion. A brief tactile motion stimulus consisted of four successive rows of vibration, and the interstimulus onset between the tactile rows was varied to change the velocity of the tactile motion. The results show that the forward velocity of self-motion is significantly overestimated for rapid tactile flows and underestimated for slow ones, compared with optical flow alone or non-motion vibrotactile stimulation conditions. In addition, the effect with a temporal tactile rhythm without changing the stimulus location was smaller than that with spatiotemporal tactile motion, with the interstimulus onset interval to elicit a clear sensation of tactile apparent motion. These findings suggest that spatiotemporal tactile motion is effective in inducing a change in the perceived forward velocity of self-motion.",
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"content": "The present study investigated whether a tactile flow created by a matrix of vibrators in a seat pan simultaneously presented with an optical flow in peripheral vision enhances the perceived forward velocity of self-motion. A brief tactile motion stimulus consisted of four successive rows of vibration, and the interstimulus onset between the tactile rows was varied to change the velocity of the tactile motion. The results show that the forward velocity of self-motion is significantly overestimated for rapid tactile flows and underestimated for slow ones, compared with optical flow alone or non-motion vibrotactile stimulation conditions. In addition, the effect with a temporal tactile rhythm without changing the stimulus location was smaller than that with spatiotemporal tactile motion, with the interstimulus onset interval to elicit a clear sensation of tactile apparent motion. These findings suggest that spatiotemporal tactile motion is effective in inducing a change in the perceived forward velocity of self-motion.",
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