Stem super$ (all stems)

103 papers:

CASE-2015-KawanishiHTO #lens

Calibration of lens distortion for super-wide-angle stereo vision (HK, YH, TT, AO), pp. 843–848.

DAC-2015-BokhariJSHP #architecture #manycore #named

SuperNet: multimode interconnect architecture for manycore chips (HB, HJ, MS, JH, SP), p. 6.

MSR-2015-GermanAH #dataset #git #linux #process

A Dataset of the Activity of the Git Super-repository of Linux in 2012 (DMG, BA, AEH), pp. 470–473.

STOC-2015-Moitra #matrix

Super-resolution, Extremal Functions and the Condition Number of Vandermonde Matrices (AM), pp. 821–830.

LATA-2015-AmanoS #bound #multi #polynomial

A Nonuniform Circuit Class with Multilayer of Threshold Gates Having Super Quasi Polynomial Size Lower Bounds Against NEXP (KA, AS), pp. 461–472.

SEKE-2015-Chang #component

A Slow Intelligence System Test Bed Enhanced with Super-Components (SKC), pp. 57–63.

ASPLOS-2015-WangJZY #memory management #named #reliability

SD-PCM: Constructing Reliable Super Dense Phase Change Memory under Write Disturbance (RW, LJ, YZ, JY), pp. 19–31.

ISMM-2015-Kuszmaul #named #parallel #performance #thread

SuperMalloc: a super fast multithreaded malloc for 64-bit machines (BCK), pp. 41–55.

DATE-2014-HeYH0 #design #named #power management

SuperRange: Wide operational range power delivery design for both STV and NTV computing (XH, GY, YH, XL), pp. 1–6.

STOC-2014-GuruswamiHHSV

Super-polylogarithmic hypergraph coloring hardness via low-degree long codes (VG, PH, JH, SS, GV), pp. 614–623.

STOC-2014-KayalLSS #bound

Super-polynomial lower bounds for depth-4 homogeneous arithmetic formulas (NK, NL, CS, SS), pp. 119–127.

STOC-2014-KayalSS #bound

A super-polynomial lower bound for regular arithmetic formulas (NK, CS, RS), pp. 146–153.

ICPR-2014-DarvishLS #image

Super-resolution Facial Images from Single Input Images Based on Discrete Wavelet Transform (AMD, HL, US), pp. 843–848.

ICPR-2014-GotoFNHS

Super-resolution System for 4K-HDTV (TG, TF, FN, SH, MS), pp. 4453–4458.

ICPR-2014-HayamiTOSS

Super-high Dynamic Range Imaging (TH, MT, MO, TS, SS), pp. 720–725.

ICPR-2014-HsiaoLH #3d #re-engineering

Super-resolution Reconstruction for Binocular 3D Data (WTH, JJL, HHH), pp. 4206–4211.

ICPR-2014-IshaqEW #evaluation #performance

An Evaluation of the Faster STORM Method for Super-resolution Microscopy (OI, JE, CW), pp. 4435–4440.

ICPR-2014-PakKA #detection #probability

Improvement of Benign and Malignant Probability Detection Based on Non-subsample Contourlet Transform and Super-resolution (FP, HRK, AA), pp. 895–899.

ICPR-2014-SicreTG #difference #image

SuperPixel Based Angular Differences as a Mid-level Image Descriptor (RS, HET, TG), pp. 3732–3737.

ICPR-2014-SinghA #constraints #energy #self

Sub-band Energy Constraints for Self-Similarity Based Super-resolution (AS, NA), pp. 4447–4452.

ICPR-2014-WalhaDLGA #approach #image #learning #taxonomy

Sparse Coding with a Coupled Dictionary Learning Approach for Textual Image Super-resolution (RW, FD, FL, CG, AMA), pp. 4459–4464.

ICPR-2014-WangDWLZJ

Depth Super-resolution by Fusing Depth Imaging and Stereo Vision with Structural Determinant Information Inference (YW, HD, BW, WL, JZ, YJ), pp. 4212–4217.

DRR-2013-MaA #documentation #framework #image

A super resolution framework for low resolution document image OCR (DM, GA).

ICDAR-2013-WalhaDLGA #clustering #image #multi

Multiple Learned Dictionaries Based Clustered Sparse Coding for the Super-Resolution of Single Text Image (RW, FD, FL, CG, AMA), pp. 484–488.

DLT-2013-FeliceN #algorithm #automaton

Brzozowski Algorithm Is Generically Super-Polynomial for Deterministic Automata (SDF, CN), pp. 179–190.

PLDI-2012-GazzilloG #c #named #parsing #preprocessor

SuperC: parsing all of C by taming the preprocessor (PG, RG), pp. 323–334.

ICALP-v2-2012-BernsHP #algorithm #distributed #metric

Super-Fast Distributed Algorithms for Metric Facility Location (AB, JH, SVP), pp. 428–439.

ICPR-2012-GuQFLW #image #kernel #multi

Image super-resolution based on multikernel regression (YG, YQ, TZF, CL, HW), pp. 2071–2074.

ICPR-2012-GuSM #image #performance

Fast image super resolution via local regression (SG, NS, FM), pp. 3128–3131.

ICPR-2012-HeLL #image #using

Single image super-resolution using Gaussian Mixture Model (HH, JL, XL), pp. 1916–1919.

ICPR-2012-IwamotoHSTXC #image #representation #self #using

Super-resolution of MR volumetric images using sparse representation and self-similarity (YI, XHH, SS, KT, WX, YWC), pp. 3758–3761.

ICPR-2012-KumarRS #learning #predict

Learning to predict super resolution wavelet coefficients (NK, NKR, AS), pp. 3468–3471.

ICPR-2012-LeeALKKK #web

Web image-based super-resolution (JHL, SCA, HL, IJK, JK, HGK), pp. 1060–1063.

ICPR-2012-LeeLHL #re-engineering #sequence #video

Super-resolution reconstruction of video sequences based on wavelet-domain spatial and temporal processing (CML, CJL, CYH, WNL), pp. 194–197.

ICPR-2012-PrabhuR #multi

Joint multi-frame super-resolution and matting (SMP, ANR), pp. 1924–1927.

ICPR-2012-RenLWG #image

Image super-resolution by structural sparse coding (JR, JL, MW, ZG), pp. 1936–1939.

ICPR-2012-SalvadorRKH #re-engineering #video

Variational reconstruction and restoration for video Super-Resolution (JS, DR, AK, JRH), pp. 1047–1051.

ICPR-2012-TaniguchiHISC #image #linear

Image super-resolution based on locality-constrained linear coding (KT, XHH, YI, SS, YWC), pp. 1948–1951.

ICPR-2012-YanXY0 #image #novel

Image super-resolution based on a novel edge sharpness prior (QY, YX, XY, KC), pp. 1056–1059.

ICPR-2012-ZhuJL #image #representation

Optimized image super-resolution based on sparse representation (YZ, JJ, KL), pp. 1052–1055.

SAC-2012-NevesWSP

Parallelizing SuperFine (DTN, TW, JLS, KP), pp. 1361–1367.

ICDAR-2011-KatoDTIM #recognition #using

Low Resolution QR-Code Recognition by Applying Super-Resolution Using the Property of QR-Codes (YK, DD, TT, II, HM), pp. 992–996.

ICDAR-2011-LeloreB #algorithm

Super-Resolved Binarization of Text Based on the FAIR Algorithm (TL, FB), pp. 839–843.

SAC-2011-TranCS #permutation #predict

Prediction of permuted super-secondary structures in β-barrel proteins (VDT, PC, JMS), pp. 110–111.

DATE-2010-UgryumovaS #algorithm #modelling #on the

On passivity of the super node algorithm for EM modeling of interconnect systems (MVU, WHAS), pp. 471–476.

ICPR-2010-IiyamaKM #image #multi

Super-Resolution Texture Mapping from Multiple View Images (MI, KK, MM), pp. 1820–1823.

ICPR-2010-NasonovK #performance #using

Fast Super-Resolution Using Weighted Median Filtering (AVN, ASK), pp. 2230–2233.

ICPR-2010-NguyenAC #approach #locality #performance

Unifying Approach for Fast License Plate Localization and Super-Resolution (CDN, MA, LC), pp. 376–379.

ICPR-2010-TianSK #evaluation

Task-Oriented Evaluation of Super-Resolution Techniques (LT, AS, HK), pp. 493–498.

ICPR-2010-ZouY #image #kernel #learning

Learning the Relationship Between High and Low Resolution Images in Kernel Space for Face Super Resolution (WWWZ, PCY), pp. 1152–1155.

ICDAR-2009-OhkuraDTIM #recognition

Low-Resolution Character Recognition by Video-Based Super-Resolution (AO, DD, TT, II, HM), pp. 191–195.

SAC-2009-MartinsHM #image #multi #re-engineering #using

Super-resolution image reconstruction using the generalized isotropic multi-level logistic model (ALDM, MRPH, NDAM), pp. 934–938.

CHI-2008-MorrisBM #named #type system #using

SuperBreak: using interactivity to enhance ergonomic typing breaks (DM, AJBB, BM), pp. 1817–1826.

ICPR-2008-AricanF #image

Super-resolution from unregistered omnidirectional images (ZA, PF), pp. 1–4.

ICPR-2008-GuoYZZY #embedded #markov #random #using

Face super-resolution using 8-connected Markov Random Fields with embedded prior (KG, XY, RZ, GZ, SY), pp. 1–4.

ICPR-2008-WatanabeIHY #algorithm #performance #reduction #using #video

A fast algorithm of video super-resolution using dimensionality reduction by DCT and example selection (KW, YI, TH, MY), pp. 1–5.

ICPR-2008-YuanDZ #image #performance #re-engineering

Fast super-resolution for license plate image reconstruction (JY, SD, XZ), pp. 1–4.

SAC-2008-Rodriguez-PerezEM #framework #named #network

Surework: a super-peer reputation framework for p2p networks (MRP, OE, JLM), pp. 2019–2023.

PPoPP-2008-ChanZBQQG #named #parallel #runtime #scheduling #thread

SuperMatrix: a multithreaded runtime scheduling system for algorithms-by-blocks (EC, FGVZ, PB, ESQO, GQO, RAvdG), pp. 123–132.

DAC-2007-MarescauxC

Introducing the SuperGT Network-on-Chip; SuperGT QoS: more than just GT (TM, HC), pp. 116–121.

WCRE-2007-LunguLGH #reverse engineering

Reverse Engineering Super-Repositories (ML, ML, TG, RH), pp. 120–129.

CIAA-2007-BlancCW #finite

A Finite-State Super-Chunker (OB, MC, PW), pp. 306–308.

CGO-2007-WallaceH #named #performance #realtime

SuperPin: Parallelizing Dynamic Instrumentation for Real-Time Performance (SW, KMH), pp. 209–220.

RTA-2007-DowekH #proving

A Simple Proof That Super-Consistency Implies Cut Elimination (GD, OH), pp. 93–106.

ICPR-v3-2006-ChanLN #re-engineering

Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction (WSC, EYL, MKN), pp. 623–626.

ICPR-v3-2006-KongHXTG #random #video

A Conditional Random Field Model for Video Super-resolution (DK, MH, WX, HT, YG), pp. 619–622.

ICPR-v3-2006-SureshR

Super-resolution in the presence of space-variant blur (KVS, ANR), pp. 770–773.

ICPR-v3-2006-WuT06a #image #re-engineering

A Regression Model in TensorPCA Subspace for Face Image Super-resolution Reconstruction (JW, MMT), pp. 627–630.

ICPR-v3-2006-YuOWC #3d

Accurate 3-D Motion Tracking with an Application to Super-Resolution (YKY, SHO, KhW, MMYC), pp. 730–733.

ICPR-v4-2006-YuB06a #image #video

Super-resolution Restoration of Facial Images in Video (JY, BB), pp. 342–345.

ECOOP-2006-McDirmidH #component #named #object-oriented #programming

SuperGlue: Component Programming with Object-Oriented Signals (SM, WCH), pp. 206–229.

ICDAR-2005-ParkKK #image

An Example-based Prior Model for Text Image Super-resolution (JP, YK, JHK), pp. 374–378.

SIGMOD-2004-IdreosKT #ad hoc #named #network #query

P2P-DIET: An Extensible P2P Service that Unifies Ad-hoc and Continuous Querying in Super-Peer Networks (SI, MK, CT), pp. 933–934.

STOC-2004-Raz #multi

Multi-linear formulas for permanent and determinant are of super-polynomial size (RR), pp. 633–641.

ICPR-v1-2004-Zhao #scalability #video

Super-Resolving Compressed Video with Large Artifacts (WYZ), pp. 516–519.

ICPR-v2-2004-BeginF #approach #using

Blind Super-Resolution Using a Learning-Based Approach (IB, FPF), pp. 85–89.

ICPR-v3-2004-ShimizuYO #image

Super-Resolution under Image Deformation (MS, TY, MO), pp. 586–589.

ICPR-v3-2004-WuTR #algorithm #component #video

High Frequency Component Compensation based Super-Resolution Algorithm for Face Video Enhancement (JW, MMT, BDR), pp. 598–601.

ICPR-v4-2004-CuiWHTS #image #synthesis

An Iris Image Synthesis Method Based on PCA and Super-Resolution (JC, YW, JH, TT, ZS), pp. 471–474.

OOPSLA-2004-GoldbergFF #exclamation

Super and inner: together at last! (DSG, RBF, MF), pp. 116–129.

SAC-2003-LeeLTY #identification

Identify Amino Acid Candidates Critical for Function of Rat Imidase by Cross-reference Voting in Imidase SuperFamily (CL, YtL, CYT, YSY), pp. 127–134.

ICPR-v2-2002-ZhaoSHS #named

Super-Fusion: A Super-Resolution Method Based on Fusion (WYZ, HSS, MWH, SS), pp. 269–272.

VLDB-2001-MaedaT #adaptation #named #using

ACTIVIEW: Adaptive data presentation using SuperSQL (YM, MT), pp. 695–696.

ICPR-v1-2000-CapelZ #image #sequence

Super-Resolution Enhancement of Text Image Sequences (DPC, AZ), pp. 1600–1605.

ICPR-v1-2000-ZometP #performance

Efficient Super-Resolution and Applications to Mosaics (AZ, SP), pp. 1579–1583.

ICPR-v3-2000-DekeyserBPP #2d #image #parametricity #sequence

Super-Resolution from Noisy Image Sequences Exploiting a 2D Parametric Motion Model (FD, PB, PP, ÉP), pp. 3354–3357.

HCI-CCAD-1999-StahreJ #concept #information management #smarttech

The super operator concept — wearable information system for manufacturing system personnel (JS, AJ), pp. 192–196.

TOOLS-ASIA-1999-AnLWJCWC #corba #framework #ide #java

A Java/CORBA Based Universal Framework for Super Server User-End Integrated Environments (HA, HL, MW, YJ, ZC, FW, GC), pp. 336–341.

SIGMOD-1998-Toyama #database #named #sql

SuperSQL: An Extended SQL for Database Publishing and Presentation (MT), pp. 584–586.

VLDB-1997-WhiteheadSM #information retrieval #using

GTE SuperPages: Using IR Techniques for Searching Complex Objects (SDW, HS, MM), pp. 553–557.

HCI-CC-1997-BiancardiP

4 Super-Events to Tame the Daunting Image-Selections (AB, MP), pp. 725–728.

SIGMOD-1996-Agarwal #algorithm #sorting

A Super Scalar Sort Algorithm for RISC Processors (RCA), pp. 240–246.

KR-1996-BrassDP #logic programming #source code

Super Logic Programs (SB, JD, TCP), pp. 529–540.

DLT-1995-TipleaE #normalisation #petri net

Hierarchies of Petri Net Languages and a Super-Normal Form (FLT, CE), pp. 396–405.

SIGIR-1995-EfraimidisGMST #parallel #performance #retrieval #using

Parallel Text Retrieval on a High Performance Super Computer Using the Vector Space Model (PSE, CG, BM, PGS, BT), pp. 58–66.

ICALP-1994-PlaxtonS #bound #network #sorting

A Super-Logarithmic Lower Bound for Hypercubic Sorting Networks (CGP, TS), pp. 618–629.

POPL-1994-Agrawal

Dominators, Super Blocks, and Program Coverage (HA), pp. 25–34.

SIGMOD-1993-AnderssonADFGS

The “SUPER” Project (MA, AA, YD, EF, MG, SS), pp. 546–547.

VLDB-1990-KitsuregawaO #database #parallel #robust

Bucket Spreading Parallel Hash: A New, Robust, Parallel Hash Join Method for Data Skew in the Super Database Computer (SDC) (MK, YO), pp. 210–221.

STOC-1988-KarchmerW

Monotone Circuits for Connectivity Require Super-logarithmic Depth (MK, AW), pp. 539–550.

HT-1987-RemdeGL #automation #hypermedia #named #question

SuperBook: An Automatic Tool for Information Exploration — Hypertext? (JRR, LMG, TKL), pp. 175–188.

LFP-1982-Hughes #combinator #implementation

Super Combinators: A New Implementation Method for Applicative Languages (RJMH), pp. 1–10.

STOC-1976-LiptonS #evaluation

Evaluation of Polynomials with Super-Preconditioning (RJL, LJS), pp. 174–180.