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2Fast Supervised Hashing with Decision Trees for High-Dimensional Data
G. Lin, C. Shen, Q. Shi, A. van den Hengel, and D. Suter. 2014 IEEE Conference on Computer Vision and Pattern Recognition, page 1971-1978. (June 2014)
3 years ago by @dsuter
show all tags
decision
retrieval;inference
trees;Kernel;Optimization;Support
problem;block
inference;sub-modular
hashing;hash
supervised
codes;graph-cut;hashing;image
trees;fast
data;large-scale
coding;image
code
formulations;Binary
inference
mechanisms;GraphCut;binary
machines;Training;Training
codes;cryptography;decision
retrieval
data;binary
functions;high-dimensional
trees;image
method;boosted
codes;Decision
block
vector
search
decisionretrieval;inferencetrees;Kernel;Optimization;Supportproblem;blockinference;sub-modularhashing;hashsupervisedcodes;graph-cut;hashing;imagetrees;fastdata;large-scalecoding;imagecodeformulations;Binaryinferencemechanisms;GraphCut;binarymachines;Training;Trainingcodes;cryptography;decisionretrievaldata;binaryfunctions;high-dimensionaltrees;imagemethod;boostedcodes;Decisionblockvectorsearch
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1Design and Performance Study of Next Generation OOFDM
D. Tripathi, P. Singh, N. Shukla, and H. Dixit. International Journal of Applied Control, Electrical and Electronics Engineering, 1 (2/3): 14 (November 2013)
7 years ago by @jackrudel
show all tags
coplanar
Modulator
Zehender
Acess(CDMA).
(CPW)
(MZM)
Division
Multiple
Code
Mach
waveguide
coplanarModulatorZehenderAcess(CDMA).(CPW)(MZM)DivisionMultipleCodeMachwaveguide
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1StarBench: The D-type expansion of an HII region
T. Bisbas, T. Haworth, R. Williams, J. Mackey, P. Tremblin, A. Raga, S. Arthur, C. Baczynski, J. Dale, T. Frostholm and 9 other author(s). (2015)cite arxiv:1507.05621Comment: 20 pages, 12 Figures, 4 Tables. Accepted for publication in MNRAS. Comments are welcome. Participation in future StarBench tests is also welcome.
9 years ago by @miki
show all tags
code
comparison
HII
region
expansion
codecomparisonHIIregionexpansion
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1Has open source software been institutionalized in organizations or not?
J. Marsan, G. Paré, and M. Wybo. Information & Software Technology, 54 (12): 1308-1316 (2012)
12 years ago by @certae
show all tags
code
certae
prototyping
driven
dblp
codecertaeprototypingdrivendblp
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1Power control for wireless data
D. Goodman, and N. Mandayam. Personal Communications, IEEE, 7 (2): 48-54 (April 2000)
12 years ago by @chsivic
show all tags
service,
efficient
sources,
theory,
mobile
telephone
utility-price,
Pareto
power,
communicationCDMA
algorithm,
information
game
code
Nash
phones,
noncooperative
transmitters,
access,
transmissions
utility
QoS,
price
function
communication,
control,
equilibrium,
net
radio,
game,
microeconomics,
distributed
control
quality
maximization,
multimedia
cellular
multiple
communications,
wireless
proportional,
telephone,
mathematics,
voice
data
telecommunication
radio
division
economics,
of
power
transmitter
service,efficientsources,theory,mobiletelephoneutility-price,Paretopower,communicationCDMAalgorithm,informationgamecodeNashphones,noncooperativetransmitters,access,transmissionsutilityQoS,pricefunctioncommunication,control,equilibrium,netradio,game,microeconomics,distributedcontrolqualitymaximization,multimediacellularmultiplecommunications,wirelessproportional,telephone,mathematics,voicedatatelecommunicationradiodivisioneconomics,ofpowertransmitter
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9Clone Detection Using Abstract Syntax Trees
I. Baxter, A. Yahin, L. Moura, M. Sant'Anna, and L. Bier. Proceedings of the International Conference on Software Maintenance, page 368--. Washington, DC, USA, IEEE Computer Society, (1998)
12 years ago by @melvinfrohike
show all tags
code
detection
mining
clone
codedetectionminingclone
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2Modelibra Education
D. Ridjanovic. (2011)
12 years ago by @certae
show all tags
code
certae
prototyping
software
driven
codecertaeprototypingsoftwaredriven
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2The SIESTA method for ab initio order- N materials simulation
J. Soler, E. Artacho, J. Gale, A. García, J. Junquera, P. Ordejón, and D. Sánchez-Portal. Journal of Physics: Condensed Matter, 14 (11): 2745 (2002)
14 years ago by @pmd
show all tags
DFT
code
DFTcode
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2A Novel Embedding Method For An Anti-Collusion Fingerprinting By Embedding Both A Code And An Orthogonal Fingerprint
D. Jang, and C. Yoo. Proc. IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2006, 5, page V--V. (14--19 May 2006)
16 years ago by @ywhuang
show all tags
code
fingerprinting
codefingerprinting
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3Processing software source text in automated design recovery and transformation
A. Malton, K. Schneider, J. Cordy, T. Dean, D. Cousineau, and J. Reynolds. Program Comprehension, 2001. IWPC 2001. Proceedings. 9th International Workshop on, (2001)
16 years ago by @sjbutler
show all tags
factoring
automation
code
software
to_read
text_transformation
engineering
source
analysis
maintenance
programming
factoringautomationcodesoftwareto_readtext_transformationengineeringsourceanalysismaintenanceprogramming
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1Multi-Objective Methods for Tree Size Control
E. de Jong, and J. Pollack. Genetic Programming and Evolvable Machines, 4 (3): 211--233 (September 2003)
17 years ago by @brazovayeye
show all tags
genetic
code
optimality,
optimization,
representations,
Pareto
algorithms,
bloat,
size
programming,
interpretability
growth,
variable
multi-objective
geneticcodeoptimality,optimization,representations,Paretoalgorithms,bloat,sizeprogramming,interpretabilitygrowth,variablemulti-objective
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1Reducing Bloat and Promoting Diversity using Multi-Objective Methods
E. de Jong, R. Watson, and J. Pollack. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page 11--18. San Francisco, California, USA, Morgan Kaufmann, (7-11 July 2001)
17 years ago by @brazovayeye
show all tags
genetic
Pareto,
code
optimality
optimization,
introns,
algorithms,
diversity
bloat,
programming,
maintenance,
growth,
evolutionary
multi-objective
geneticPareto,codeoptimalityoptimization,introns,algorithms,diversitybloat,programming,maintenance,growth,evolutionarymulti-objective
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publications (hide)12
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