19 papers:
DAC-2015-HanF #analysis #approach #cpu #gpu #graph #scalability- Transient-simulation guided graph sparsification approach to scalable harmonic balance (HB) analysis of post-layout RF circuits leveraging heterogeneous CPU-GPU computing systems (LH, ZF), p. 6.
STOC-2015-ZhuLO #matrix #multi- Spectral Sparsification and Regret Minimization Beyond Matrix Multiplicative Updates (ZAZ, ZL, LO), pp. 237–245.
ICML-c3-2013-Cho #image- Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images (KC), pp. 432–440.
PODS-2012-AhnGM #graph #sketching- Graph sketches: sparsification, spanners, and subgraphs (KJA, SG, AM), pp. 5–14.
ICALP-v1-2012-SanthanamS #on the- On the Limits of Sparsification (RS, SS), pp. 774–785.
ICML-2012-SunGS #kernel #on the #online #taxonomy- On the Size of the Online Kernel Sparsification Dictionary (YS, FJG, JS), p. 79.
ICPR-2012-RaketN #algorithm- A splitting algorithm for directional regularization and sparsification (LLR, MN), pp. 3094–3098.
SIGMOD-2011-SatuluriPR #clustering #graph #scalability- Local graph sparsification for scalable clustering (VS, SP, YR), pp. 721–732.
STOC-2011-FungHHP #framework #graph- A general framework for graph sparsification (WSF, RH, NJAH, DP), pp. 71–80.
KDD-2011-MathioudakisBCGU #network- Sparsification of influence networks (MM, FB, CC, AG, AU), pp. 529–537.
STOC-2010-DellM #polynomial #satisfiability- Satisfiability allows no nontrivial sparsification unless the polynomial-time hierarchy collapses (HD, DvM), pp. 251–260.
STOC-2010-KollaMST- Subgraph sparsification and nearly optimal ultrasparsifiers (AK, YM, AS, SHT), pp. 57–66.
STOC-2010-LeightonM- Extensions and limits to vertex sparsification (FTL, AM), pp. 47–56.
ICALP-v2-2009-AhnG #graph- Graph Sparsification in the Semi-streaming Model (KJA, SG), pp. 328–338.
ICML-2009-GargK #algorithm #strict- Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property (RG, RK), pp. 337–344.
STOC-2008-SpielmanS #effectiveness #graph- Graph sparsification by effective resistances (DAS, NS), pp. 563–568.
STOC-2004-SpielmanT #algorithm #clustering #graph #linear- Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems (DAS, SHT), pp. 81–90.
DAC-2000-KanapkaPW #performance- Fast methods for extraction and sparsification of substrate coupling (JK, JRP, JW), pp. 738–743.
STOC-1993-EppsteinGIS #algorithm #graph- Separator based sparsification for dynamic planar graph algorithms (DE, ZG, GFI, THS), pp. 208–217.