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2Using change point detection to automate daily activity segmentation
S. Aminikhanghahi, and D. Cook. Proc. IEEE Int. Conf. Pervasive Computing and Communications Workshops (PerCom Workshops), page 262--267. (March 2017)
4 years ago by @annakrause
show all tags
image
models,
segmentation,
Segmentation,
Markov
detection
recognition,
(artificial
automatic
real
Smart
methods,
home
transition
homes,
Change
Context,
daily
machine
change
algorithm,
datasets,
time
boundaries,
object
Real-time
activity
Activity
recognition
learning
learning-based
intelligence),
automation,
Feature
systems,
Recognition,
smart
point
algorithms,
aware
extraction,
continuous
feature
detection,
Hidden
segmentation
streaming,
human
imagemodels,segmentation,Segmentation,Markovdetectionrecognition,(artificialautomaticrealSmartmethods,hometransitionhomes,ChangeContext,dailymachinechangealgorithm,datasets,timeboundaries,objectReal-timeactivityActivityrecognitionlearninglearning-basedintelligence),automation,Featuresystems,Recognition,smartpointalgorithms,awareextraction,continuousfeaturedetection,Hiddensegmentationstreaming,human
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1Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
H. Maei, {. Szepesvári, S. Bhatnagar, D. Silver, D. Precup, and R. Sutton. NIPS, page 1204--1212. (2009)
5 years ago by @csaba
show all tags
approximation,
neural
theory,
nonlinear
learning,
networks,
prediction,
GTD
gradient
function
online
stochastic
algorithm,
reinforcement
approximation,neuraltheory,nonlinearlearning,networks,prediction,GTDgradientfunctiononlinestochasticalgorithm,reinforcement
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1Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation
R. Sutton, H. Maei, D. Precup, S. Bhatnagar, D. Silver, {. Szepesvári, and E. Wiewiora. ICML, page 993--1000. (2009)
5 years ago by @csaba
show all tags
approximation,
TDC
learning,
prediction,
function
gradient
online
stochastic
theory,
algorithm,
reinforcement
GTD2,
approximation,TDClearning,prediction,functiongradientonlinestochastictheory,algorithm,reinforcementGTD2,
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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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1Comparison of target detection algorithms using adaptive background models
D. Hall, J. Nascimento, P. Ribeiro, E. Andrade, P. Moreno, S. Pesnel, T. List, R. Emonet, R. Fisher, J. Victor and 1 other author(s). Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005. 2nd Joint IEEE International Workshop on, page 113--120. IEEE, (October 2005)
13 years ago by @baby9992006
show all tags
processing,
target,
detection,
algorithm,
image,
video
processing,target,detection,algorithm,image,video
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1Solar radiation modelling in the urban context
D. Robinson, and A. Stone. Solar Energy, (2004)
13 years ago by @procomun
show all tags
Theory,
Validation
surface
solar
skyline,
radiation,
radiosity
irradiance,
SRA,
Model,
urban
algorithm,
Urban,
simplified
Theory,Validationsurfacesolarskyline,radiation,radiosityirradiance,SRA,Model,urbanalgorithm,Urban,simplified
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2Use of an Eigenmode Method To Locate the Stationary Points on the Potential Energy Surfaces of Selected Argon and Water Clusters
C. Tsai, and K. Jordan. (1993)
15 years ago by @dhruvbansal
show all tags
optimization,
algorithm,
root_finding,
computational
eigenmode,
optimization,algorithm,root_finding,computationaleigenmode,
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1Folding 3-noncrossing RNA pseudoknot structures
F. Huang, W. Peng, and C. Reidys. (September 2008)
16 years ago by @earthfare
show all tags
pseudoknot,
rna
prediction,
dynamic-programming,
algorithm,
pseudoknot,rnaprediction,dynamic-programming,algorithm,
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2Structural system identification using genetic programming and a block diagram oriented simulation tool
G. Gray, Y. Li, D. Murray-Smith, and K. Sharman. Electronics Letters, 32 (15): 1422--1424 (18 July 1996)
17 years ago by @brazovayeye
show all tags
genetic
annealing,
tool,
dynamical
simulation
simulation,
model,
annealing
nonlinear
diagram,
system
systems
algorithms,
hybrid
structural
identification,
programming,
simulated
algorithm,
optimisation,
block
dynamic
simplex/simulated
geneticannealing,tool,dynamicalsimulationsimulation,model,annealingnonlineardiagram,systemsystemsalgorithms,hybridstructuralidentification,programming,simulatedalgorithm,optimisation,blockdynamicsimplex/simulated
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3Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms
J. Hu, E. Goodman, K. Seo, and M. Pei. GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page 772--779. New York, Morgan Kaufmann Publishers, (9-13 July 2002)
17 years ago by @brazovayeye
show all tags
principle,
genetic
convergence
competition
fair
adaptive
topology,
algorithms,
premature
parallel
hierarchical
programming,
algorithm,
evolutionary
principle,geneticconvergencecompetitionfairadaptivetopology,algorithms,prematureparallelhierarchicalprogramming,algorithm,evolutionary
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1Initialization method for grammar-guided genetic programming
M. Garcia-Arnau, D. Manrique, J. Rios, and A. Rodriguez-Paton. Knowledge-Based Systems, 20 (2): 127--133 (March 2007)AI 2006, The 26th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence.
17 years ago by @brazovayeye
show all tags
Tree-generation
genetic
algorithms,
cancer
programming,
Initialisation
Breast
GGGP
algorithm,
method,
Grammar-guided
prognosis,
Tree-generationgeneticalgorithms,cancerprogramming,InitialisationBreastGGGPalgorithm,method,Grammar-guidedprognosis,
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publications (hide)11
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