Search results for "maximization"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
20	Yifeng He, Ivan Lee, Ling Guan	Network Lifetime Maximization in Wireless Visual Sensor Networks using a Distributed Algorithm.	ICME	2007	DBLP DOI BibTeX RDF
20	Yang Song 0005, Chi Zhang 0001, Yuguang Fang	Throughput Maximization in Multi-channel Wireless Mesh Access Networks.	ICNP	2007	DBLP DOI BibTeX RDF
20	Johannes Brehmer, Wolfgang Utschick	A Decomposition of the Downlink Utility Maximization Problem.	CISS	2007	DBLP DOI BibTeX RDF
20	Jang-Won Lee 0001, Mung Chiang, A. Robert Calderbank	Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization.	IEEE J. Sel. Areas Commun.	2006	DBLP DOI BibTeX RDF
20	Daniel Pérez Palomar, Mung Chiang	A Tutorial on Decomposition Methods for Network Utility Maximization.	IEEE J. Sel. Areas Commun.	2006	DBLP DOI BibTeX RDF
20	Ryotaro Kamimura	Cooperative information maximization with Gaussian activation functions for self-organizing maps.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
20	Sam C. M. Lee, Joe W. J. Jiang, John C. S. Lui, Dah-Ming Chiu	Interplay of ISPs: Distributed Resource Allocation and Revenue Maximization.	ICDCS	2006	DBLP DOI BibTeX RDF	ISP peering, economic pricing, distributed resource allocation
20	Joongheon Kim, Wonjun Lee 0001, Dongshin Kim 0001, Eunkyo Kim, Hyeokman Kim, Sanghyun Ahn	Dynamic Clustering for Coverage-Time Maximization in Two-Tiered Hierarchical Sensor Network Architectures.	EUC	2006	DBLP DOI BibTeX RDF
20	Hoang Nguyen, Bernard C. Levy	The expectation-maximization Viterbi algorithm for blind adaptive channel equalization.	IEEE Trans. Commun.	2005	DBLP DOI BibTeX RDF
20	Enzo Baccarelli, Mauro Biagi, Cristian Pelizzoni, Nicola Cordeschi, Fabio Garzia	A Power Allocation Algorithm for Throughput Maximization in Mobile Networks.	WOWMOM	2005	DBLP DOI BibTeX RDF
20	Daniel J. Blezek, W. Thomas Dixon, Paritosh J. Dhawale	Single Image Phase-Based MRI Fat Suppression Expectation Maximization Algorithm.	CVPR (2)	2005	DBLP DOI BibTeX RDF
20	Zhihua Zhang, James T. Kwok, Dit-Yan Yeung	Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model.	ICML	2004	DBLP DOI BibTeX RDF
20	Naveen Garg 0001, Rohit Khandekar, Keshav Kunal, Vinayaka Pandit	Bandwidth Maximization in Multicasting.	ESA	2003	DBLP DOI BibTeX RDF
20	Fan Zhang 0097, Samuel T. Chanson	Throughput and Value Maximization in Wireless Packet Scheduling under Energy and Time Constraints.	RTSS	2003	DBLP DOI BibTeX RDF
20	Ryotaro Kamimura, Taeko Kamimura	Information Maximization and Language Acquisition.	ICANN	2001	DBLP DOI BibTeX RDF
19	Mukund Sundararajan, Qiqi Yan	Robust mechanisms for risk-averse sellers.	EC	2010	DBLP DOI BibTeX RDF	utility, revenue maximization, risk-aversion, optimal auctions
19	Chengpeng Bi	A Monte Carlo EM Algorithm for De Novo Motif Discovery in Biomolecular Sequences.	IEEE ACM Trans. Comput. Biol. Bioinform.	2009	DBLP DOI BibTeX RDF	Monte Carlo EM, multiple sequence alignment, motif discovery, transcriptional regulation, Expectation maximization (EM)
19	Hiroyuki Okamura, Tadashi Dohi, Kishor S. Trivedi	Markovian arrival process parameter estimation with group data.	IEEE/ACM Trans. Netw.	2009	DBLP DOI BibTeX RDF	group data, maximum-likelihood (ML) estimation, network traffic, Markovian arrival process (MAP), Markov-modulated Poisson process (MMPP), expectation-maximization (EM) algorithm
19	Stanislav Angelov, Sanjeev Khanna, Keshav Kunal	The Network as a Storage Device: Dynamic Routing with Bounded Buffers.	Algorithmica	2009	DBLP DOI BibTeX RDF	Troughput maximization, Online algorithms, Network routing
19	JIanDe Yu, Jinmei Lai	A novel minloop SB design to improve FPGA routability.	FPGA	2009	DBLP DOI BibTeX RDF	minimum-loop-size maximization method, minloop switch box, routing resources design, fpga
19	Yi-Jen Chiu, Chien-Sheng Chen, Ting-Wei Chang	Channel Estimation and ISI/ICI Cancellation for MIMO-OFDM Systems with Insufficient Cyclic Prefix.	Complex (2)	2009	DBLP DOI BibTeX RDF	multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM), inter-symbol interference (ISI), inter-carrier interference (ICI), Expectation-Maximization (EM) algorithm
19	Grégory Nuel	Counting Patterns in Degenerated Sequences.	PRIB	2009	DBLP DOI BibTeX RDF	Expectation-Maximization algorithmn, Markov chain embedding, Deterministic Finite state Automaton, Forward-Backward algorithm
19	Daniel Pomerantz, Gregory Dudek	Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model.	Canadian AI	2009	DBLP DOI BibTeX RDF	recommender system, context, Expectation Maximization, content-based, hierarchical Bayesian model
19	Hassan Khosravi, Recep Colak	Exploratory Analysis of Co-Change Graphs for Code Refactoring.	Canadian AI	2009	DBLP DOI BibTeX RDF	Clustering, Expectation Maximization, Software artifacts
19	Pei Fang Guo, Prabir Bhattacharya	An evolutionary approach to feature function generation in application to biomedical image patterns.	GECCO	2009	DBLP DOI BibTeX RDF	gaussian mixture estimation, the expectation maximization algorithm, artificial intelligence, genetic programming, texture analysis, hybrid evolutionary algorithm, feature generation
19	Ronan LeBras, Alessandro Zanarini, Gilles Pesant	Efficient Generic Search Heuristics within the EMBP Framework.	CP	2009	DBLP DOI BibTeX RDF	Constraint Satisfaction, Expectation Maximization, Probabilistic Reasoning, Belief Propagation, Search Heuristics
19	Elhadi M. Shakshuki, Xinyu Xing, Tarek R. Sheltami	An intelligent agent for fault reconnaissance in sensor networks.	iiWAS	2009	DBLP DOI BibTeX RDF	wireless sensor networks, management, intelligent agents, expectation maximization algorithm
19	Tianming Hu, Ji Ouyang, Chao Qu, Chuanren Liu	Initialization of the Neighborhood EM Algorithm for Spatial Clustering.	ADMA	2009	DBLP DOI BibTeX RDF	Neighborhood Expectation-Maximization, Initialization, Spatial Clustering
19	Dongfeng Han, Wenhui Li 0002, Zongcheng Li	Semantic image classification using statistical local spatial relations model.	Multim. Tools Appl.	2008	DBLP DOI BibTeX RDF	Statistical local spatial relations model, Variational expectation maximization, Invariant local regions, Graph model, Semantic image classification
19	John Papandriopoulos, Subhrakanti Dey, Jamie S. Evans	Optimal and distributed protocols for cross-layer design of physical and transport layers in MANETs.	IEEE/ACM Trans. Netw.	2008	DBLP DOI BibTeX RDF	mobile ad hoc network, congestion control, power control, cross-layer optimization, outage probability, Rayleigh fading, network utility maximization
19	Jun Wang 0008, Victor C. M. Leung	Resource planning and incentive engineering for a congested wireless access point: an integrated multiple time scale control mechanism.	Telecommun. Syst.	2008	DBLP DOI BibTeX RDF	Incentive engineering, Quota-based charging scheme, Network utility maximization, Mathematical optimization
19	Shuzhi Wei, Zhongxing Ye, Genke Yang	Optimal Portfolio Selection with Threshold in Stochastic Market.	Innovations in Hybrid Intelligent Systems	2008	DBLP DOI BibTeX RDF	Optimal Portfolio, HJB equation, Feynman-Kac representation, threshold, utility maximization
19	Khalid S. Alzimami, Salem A. Sassi, Nicholas M. Spyrou	A Comparison Between 3D OSEM and FBP Image Reconstruction Algorithms in SPECT.	World Congress on Engineering (Selected Papers)	2008	DBLP DOI BibTeX RDF	Filtered Back Projection, ordered-subsets expectation maximization, image attenuation, Image Reconstruction, Single Photon Emission Computed Tomography
19	Hau-Lee Tong, Mohammad Faizal Ahmad Fauzi, Ryoichi Komiya	Segmentation of CT Head Images.	BMEI (2)	2008	DBLP DOI BibTeX RDF	Image segmentation, Medical images, Expectation-maximization
19	Gustavo Carneiro 0001, Antoni B. Chan, Pedro J. Moreno 0001, Nuno Vasconcelos	Supervised Learning of Semantic Classes for Image Annotation and Retrieval.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	semantic image annotation and retrieval, image segmentation, object recognition, Content-based image retrieval, expectation-maximization, Gaussian mixtures, multiple instance learning, weakly supervised learning
19	Naeem Seliya, Taghi M. Khoshgoftaar	Software quality estimation with limited fault data: a semi-supervised learning perspective.	Softw. Qual. J.	2007	DBLP DOI BibTeX RDF	Software quality estimation, Software metrics, Semi-supervised learning, Expectation maximization, Unlabeled data
19	Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia	Inferring Gene Regulatory Networks from Multiple Data Sources Via a Dynamic Bayesian Network with Structural EM.	DILS	2007	DBLP DOI BibTeX RDF	structural Expectation Maximization, transcription factor binding location data, dynamic Bayesian network, gene regulatory networks, microarray data
19	Chengpeng Bi	Multiple Sequence Local Alignment Using Monte Carlo EM Algorithm.	ISBRA	2007	DBLP DOI BibTeX RDF	Monte Carlo EM, Multiple Sequence Local Alignment, Motif Discovery, Transcriptional Regulation, Expectation Maximization (EM)
19	Limin Xu, Zhenmin Tang, Keke He, Bo Qian 0004	Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification.	PAKDD	2007	DBLP DOI BibTeX RDF	Improved cluster algorithm, Gaussian mixture model (GMM), Linear transformation, Expectation-maximization (EM) algorithm
19	John R. Douceur, Jay R. Lorch, Thomas Moscibroda	Maximizing total upload in latency-sensitive P2P applications.	SPAA	2007	DBLP DOI BibTeX RDF	peer-to-peer gaming, upload maximization, multicast
19	Xintao Wu	Incorporating large unlabeled data to enhance EM classification.	J. Intell. Inf. Syst.	2006	DBLP DOI BibTeX RDF	Classification, Bootstrap, Expectation maximization
19	Joongseok Park, Sartaj Sahni	An Online Heuristic for Maximum Lifetime Routing in Wireless Sensor Networks.	IEEE Trans. Computers	2006	DBLP DOI BibTeX RDF	lifetime maximization, online power-aware routing, Wireless sensor networks
19	Zhenyue Zhang, Yiu-ming Cheung	On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm.	IEEE Trans. Knowl. Data Eng.	2006	DBLP DOI BibTeX RDF	Maximum weighted likelihood, weight design, extended expectation-maximization algorithm, model selection
19	Roberto Manduchi	Learning Outdoor Color Classification.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	classification, expectation maximization, Color constancy
19	Richard Nock, Frank Nielsen	On Weighting Clustering.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	khbox{-}rm means, fuzzy khbox{-}rm means, harmonic means clustering, Clustering, expectation maximization, Bregman divergences
19	Jane Yung-jen Hsu, Kwei-Jay Lin, Tsung-Hsiang Chang, Chien-Ju Ho, Han-Shen Huang, Wan-rong Jih	Parameter learning of personalized trust models in broker-based distributed trust management.	Inf. Syst. Frontiers	2006	DBLP DOI BibTeX RDF	Distributed trust management, Probabilistic trust model, Personalized feedback rating, Expectation maximization, Reputation mechanism, Parameter learning
19	Georgiana Ifrim, Gerhard Weikum	Transductive Learning for Text Classification Using Explicit Knowledge Models.	PKDD	2006	DBLP DOI BibTeX RDF	expectation-maximization, transductive learning, latent models
19	Amrinder Arora, Fanchun Jin, Hyeong-Ah Choi	Optimized Channel Utilization in Multi-carrier Wireless Mobile Networks.	WASA	2006	DBLP DOI BibTeX RDF	offline optimal algorithm, predictive scheduling, Wireless networks, competitive ratio, online scheduling, link adaptation, throughput maximization
19	Ju Wang 0001, Jeremy Cooper, Hongsik Choi	On the channel modelling and transmission power control for wireless sensor networks.	ACM Southeast Regional Conference	2006	DBLP DOI BibTeX RDF	wireless sensor network, expected maximization
19	Jiantao Wang, Lun Li 0001, Steven H. Low, John C. Doyle	Cross-layer optimization in TCP/IP networks.	IEEE/ACM Trans. Netw.	2005	DBLP DOI BibTeX RDF	TCP-AQM/IP, routing, congestion control, utility maximization
19	Lu Shen, Xi Yang 0001, Byrav Ramamurthy	Shared risk link group (SRLG)-diverse path provisioning under hybrid service level agreements in wavelength-routed optical mesh networks.	IEEE/ACM Trans. Netw.	2005	DBLP DOI BibTeX RDF	capacity minimization problem, dedicated-path protection, revenue maximization problem, shared-path protection, wavelength-routed optical network, tabu search, shared risk link group (SRLG)
19	Tianming Hu, Sam Yuan Sung	Clustering spatial data with a hybrid EM approach.	Pattern Anal. Appl.	2005	DBLP DOI BibTeX RDF	Spatial penalty term, Penalized likelihood, Gaussian mixture, Expectation maximization algorithm, Spatial clustering, Spatial autocorrelation
19	Huidong Jin 0001, Man Leung Wong, Kwong-Sak Leung	Scalable Model-Based Clustering for Large Databases Based on Data Summarization.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF	Scalable clustering, data summary, maximum penalized likelihood estimate, Gaussian mixture model, expectation-maximization
19	Vladimir Estivill-Castro, Jianhua Yang	Fast and Robust General Purpose Clustering Algorithms.	Data Min. Knowl. Discov.	2004	DBLP DOI BibTeX RDF	medoids, 1-median problem, clustering, combinatorial optimization, k-MEANS, EXPECTATION MAXIMIZATION
19	Lukasz A. Kurgan, Krzysztof J. Cios	CAIM Discretization Algorithm.	IEEE Trans. Knowl. Data Eng.	2004	DBLP DOI BibTeX RDF	Supervised discretization, class-attribute interdependency maximization, CLIP4 machine learning algorithm, classification
19	Qiang Zhu 0006, Ching-Tung Wu, Kwang-Ting Cheng, Yi-Leh Wu	An adaptive skin model and its application to objectionable image filtering.	ACM Multimedia	2004	DBLP DOI BibTeX RDF	objectionable image filtering, SVM, gaussian mixture model, expectation maximization, skin detection
19	Ravi Bansal, Lawrence H. Staib, Bradley S. Peterson	Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model.	MICCAI (1)	2004	DBLP DOI BibTeX RDF	Entropy, Partial Differential Equation, Expectation Maximization (EM), Elastic Deformation
19	Hamid Laga, Hiroki Takahashi, Masayuki Nakajima 0001	Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation.	CW	2004	DBLP DOI BibTeX RDF	3D object segmentation, Scale-space, Expectation-Maximization algorithm
19	Mor Armony, Nicholas Bambos	Queueing Dynamics and Maximal Throughput Scheduling in Switched Processing Systems.	Queueing Syst. Theory Appl.	2003	DBLP DOI BibTeX RDF	switched processing systems, cone policies, adaptive batching policies, trace-based modeling, dynamic scheduling, throughput maximization
19	Mário A. T. Figueiredo	Adaptive Sparseness for Supervised Learning.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	classification, feature selection, regression, Supervised learning, kernel methods, sparseness, expectation-maximization algorithm
19	Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, Alex M. Aisen	Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	clustering, feature selection, Image retrieval, unsupervised learning, expectation-maximization
19	Vladimir Bychkovskiy, Seapahn Megerian, Deborah Estrin, Miodrag Potkonjak	A Collaborative Approach to In-Place Sensor Calibration.	IPSN	2003	DBLP DOI BibTeX RDF	Sensor calibration, distributed calibration, consistency maximization, calibration routing, sensor networks, distributed algorithms, in-network processing
19	Bin Zhang 0004	Comparison of the Performance of Center-Based Clustering Algorithms.	PAKDD	2003	DBLP DOI BibTeX RDF	K-Harmonic Means, Data Mining, Clustering, K-means, Expectation- Maximization
19	Mário A. T. Figueiredo, Anil K. Jain 0001	Unsupervised Learning of Finite Mixture Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	minimum message length criterion, clustering, unsupervised learning, model selection, Bayesian methods, expectation-maximization algorithm, finite mixtures
19	Canasai Kruengkrai, Chuleerat Jaruskulchai	A parallel learning algorithm for text classification.	KDD	2002	DBLP DOI BibTeX RDF	parallel expectation-maximization (EM) algorithm, text classification, cluster computing, naive Bayes
19	Xintao Wu, Jianping Fan 0001, Kalpathi R. Subramanian	B-EM: a classifier incorporating bootstrap with EM approach for data mining.	KDD	2002	DBLP DOI BibTeX RDF	supervised and unsupervised learning, classification, expectation maximization, bootstrap method
19	Jiangwen Deng, Hung-Tat Tsui	A PCA/MDA Scheme for Hand Posture Recognition.	FGR	2002	DBLP DOI BibTeX RDF	hand posture recognition, PCA/MDA, Expectation Maximization
19	Abdullah N. Arslan, Ömer Egecioglu	Efficient Computation of Long Similar Subsequences.	SPIRE	2002	DBLP DOI BibTeX RDF	normalized local alignment, ratio maximization, approximation algorithm, dynamic programming, Local alignment
19	Bin Zhang 0004, Meichun Hsu, George Forman	Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up: Demonstrated for Center-Based Data Clustering Algorithms.	PKDD	2000	DBLP DOI BibTeX RDF	K-Harmonic Means, Scale-up, Data Mining, Parallel Algorithms, K-Means, Expectation-Maximization, Data Clustering, Speed-up, Sufficient Statistics
19	Rómer Rosales, Stan Sclaroff	Specialized Mappings and the Estimation of Human Body Pose from a Single Image.	Workshop on Human Motion	2000	DBLP DOI BibTeX RDF	human body pose esimation, articulated body pose, monocular images, Specialized Mappings Architecture, nonlinear supervised learning architecture, forward mapping functions, feedback matching function, computer vision, learning (artificial intelligence), probability, image recognition, probabilistic model, maximum likelihood estimation, maximum likelihood estimation, expectation maximization
19	Mary E. Helander, Ming Zhao, Niclas Ohlsson	Planning Models for Software Reliability and Cost.	IEEE Trans. Software Eng.	1998	DBLP DOI BibTeX RDF	Budget constraints, cleanroom software development, Budget-Constrained Reliability-Maximization (BCRM) Model, cost planning, failure intensity, reliability allocation, Reliability-Constrained Cost-Minimization (RCCM) Model, software reliability. (*Terms introduced in this paper.), linear programming, software components, certification, nonlinear programming, COCOMO, operational profile, Lagrangian multipliers
19	Andreas Polzer, Hansjörg Klock, Joachim M. Buhmann	Video coding by region-based motion compensation and spatio-temporal wavelet transform.	ICIP (3)	1997	DBLP DOI BibTeX RDF	region-based motion compensation, spatio-temporal wavelet transform, low bit-rate video compression, region-based motion estimation, wavelet transform coding, motion segmentation module, mean field techniques, parameter estimation, video coding, video coding, EM algorithm, maximum likelihood estimation, expectation-maximization algorithm
19	Jaime Cohen, Claudio L. Lucchesi	Minimax relations for T-join packing problems.	ISTCS	1997	DBLP DOI BibTeX RDF	minimax relations, T-join packing problems, algorithmic results, structural results, minimum T-cut, maximization problem, theorem proving, polynomial time algorithm, perfect matchings, minimax techniques
19	Rajesh P. N. Rao	Dynamic Appearance-Based Recognition.	CVPR	1997	DBLP DOI BibTeX RDF	Learning, Principal Component Analysis (PCA), Object Recognition, Prediction, Kalman Filters, Hierarchies, Minimum Description Length (MDL), Expectation-Maximization Algorithm
19	Nuno Vasconcelos, Andrew Lippman	Empirical Bayesian EM-based Motion Segmentation.	CVPR	1997	DBLP DOI BibTeX RDF	Learning in Vision, Segmentation, Expectation-Maximization, Image sequence analysis, Bayesian Learning
19	Allan Borodin, Ran El-Yaniv	On Ranomization in Online Computation.	CCC	1997	DBLP DOI BibTeX RDF	randomized online algorithms, competitive performance, Yao Principle, game theory, randomization, minimization, randomised algorithms, online computation, maximization, paging algorithms
19	Chieh-Min Fan, Nader M. Namazi, Pablo B. Penafiel	A New Image Motion Estimation Algorithm Based on the EM Technique.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	the maximum likelihood (ML) principle, the expectation-maximization (EM) algorithm, affine motion, additive white Gaussian noise, Kalman filtering, Image motion estimation
19	Zoltan Kato, Josiane Zerubia, Marc Berthod	Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model.	ICCV	1995	DBLP DOI BibTeX RDF	unsupervised parallel image classification, hierarchical Markovian model, segmentation problem, hidden label field parameters, observable image, iterative conditional estimation, estimation-maximization algorithm, tentative labeling, Connection Machine CM200, comparative tests, noisy synthetic images, noisy real images, computer vision, image segmentation, parallel processing, Markov random fields, Markov processes, iterative methods, image classification, remote sensing, remote sensing, maximum likelihood estimation, maximum likelihood estimate, random processes, hierarchical systems, maximum a posteriori estimate, model parameters
19	Chieh-Min Fan, Nader M. Namazi	Estimation of image motion parameters using the EM algorithm.	ICIP	1995	DBLP DOI BibTeX RDF	image motion parameters, spatiotemporal interpolation, iterative scheme, expectation maximization technique, image motion coefficient estimation, noisy measurements, motion estimation, data compression, sampling, filtering, noise, iterative methods, EM algorithm, maximum likelihood estimation, maximum-likelihood estimate, noisy images, image motion estimation
19	Brian C. Tom, Aggelos K. Katsaggelos	Reconstruction of a high-resolution image by simultaneous registration, restoration, and interpolation of low-resolution images.	ICIP	1995	DBLP DOI BibTeX RDF	sub-pixel shifts, maximum likelihood problem, discrete frequency domain, noise variances, power spectra, interpolation, interpolation, optimisation, estimation, image registration, image restoration, registration, maximum likelihood estimation, matrix algebra, expectation-maximization, restoration, image resolution, frequency-domain analysis, matrices, high-resolution image, low-resolution images
19	Keith A. Bartels, Jay L. Fisher	Multifrequency eddy current image processing techniques for nondestructive evaluation.	ICIP	1995	DBLP DOI BibTeX RDF	eddy current testing, nondestructive evaluation, multifrequency eddy current image processing, materials evaluation, eddy current images, image formation physics, eddy current testing, complex valued images, SNR maximization, four-frequency processing, algorithm, image sequences, image sequence, signal-to-noise ratio, experimental data
19	Kristine E. Matthews, Nader M. Namazi	Simultaneous motion parameter estimation and image segmentation using the EM algorithm.	ICIP	1995	DBLP DOI BibTeX RDF	motion parameter estimation, uncovered background, stationary pixels, moving pixels, intensity difference, image frames, region identifier, image segmentation, image segmentation, motion estimation, image sequences, image sequence, EM algorithm, maximum likelihood estimation, maximum-likelihood estimation, expectation-maximization
19	Ivan P. Radivojevic, Forrest Brewer	Analysis of conditional resource sharing using a guard-based control representation.	ICCD	1995	DBLP DOI BibTeX RDF	conditional resource sharing, guard-based control representation, hardware resources optimisation, conditional data-flow graph behavior, cyclic loops, maximization of throughput, high level synthesis, high level synthesis, systems analysis, software pipelined, data flow graphs
19	Chung-Ming Chen, Soo-Young Lee	On Parallelizing the EM Algorithm for PET Image Reconstruction.	IEEE Trans. Parallel Distributed Syst.	1994	DBLP DOI BibTeX RDF	radioisotope scanning and imaging, PET image reconstruction, memory space, homogeneous partitioning, inhomogeneous partitioning, communication/computation overlap, inherent data access pattern, multiple-ring communication pattern, achievable performance estimation, performance degradation factors, efficiency prediction formulas, integration algorithms, n-dimensional mesh topology, link setup time, performance evaluation, parallel algorithms, parallelization, optimisation, image reconstruction, iterative methods, iterative methods, EM algorithm, computation time, positron emission tomography, expectation maximization algorithm, broadcasting algorithms, ring topology, hypercube topology
19	Nozer D. Singpurwalla	Determining an Optimal Time Interval for Testing and Debugging Software.	IEEE Trans. Software Eng.	1991	DBLP DOI BibTeX RDF	optimal time interval, single-state testing, software testing, uncertainty, decision-making, software reliability, program testing, probabilistic models, decision theory, decision theory, costs, programming theory, program debugging, utility function, optimization problem, software failure, software debugging, expected utility, maximization
17	Bithika Khargharia, Salim Hariri, Mazin S. Yousif	An Adaptive Interleaving Technique for Memory Performance-per-Watt Management.	IEEE Trans. Parallel Distributed Syst.	2009	DBLP DOI BibTeX RDF
17	Xin Han, Kazuhisa Makino	Online Knapsack Problems with Limited Cuts.	ISAAC	2009	DBLP DOI BibTeX RDF
17	Baijie Wang, Ercan E. Kuruoglu, Junying Zhang	ICA by Maximizing Non-stability.	ICA	2009	DBLP DOI BibTeX RDF	non-stability, alpha-stable negentropy, impulsive signals, ICA, source separation
17	Ian C. Wong, Brian L. Evans	Optimal Downlink OFDMA Resource Allocation with Linear Complexity to Maximize Ergodic Rates.	IEEE Trans. Wirel. Commun.	2008	DBLP DOI BibTeX RDF
17	Yuanqing Li, Cuntai Guan	Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Rayleigh coefficient, Supporter vector machine (SVM), Feature extraction, Semi-supervised learning, Model selection
17	Jianhua Zhao, Philip L. H. Yu	Fast ML Estimation for the Mixture of Factor Analyzers via an ECM Algorithm.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
17	Veria Havary-Nassab, Shahram Shahbazpanahi, Ali Grami, Zhi-Quan Luo	Network beamforming based on second order statistics of the channel state information.	ICASSP	2008	DBLP DOI BibTeX RDF
17	Marian Codreanu, Antti Tölli, Markku J. Juntti, Matti Latva-aho	Uplink-Downlink SINR Duality via Lagrange Duality.	WCNC	2008	DBLP DOI BibTeX RDF
17	Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang	Semi-supervised Clustering Using Bayesian Regularization.	ICDM Workshops	2007	DBLP DOI BibTeX RDF
17	Zhengbing Bian, Qian-Ping Gu	Wavelength Assignment in Multifiber WDM Star and Spider Networks.	ICC	2007	DBLP DOI BibTeX RDF
17	Hyang-Won Lee, Song Chong	Downlink Resource Allocation in Multi-Carrier Systems: Frequency-Selective vs. Equal Power Allocation.	WOWMOM	2007	DBLP DOI BibTeX RDF
17	Wael Abd-Almageed, Aly I. El-Osery, Christopher E. Smith	Estimating time-varying densities using a stochastic learning automaton.	Soft Comput.	2006	DBLP DOI BibTeX RDF
17	José M. Bioucas-Dias	Bayesian wavelet-based image deconvolution: a GEM algorithm exploiting a class of heavy-tailed priors.	IEEE Trans. Image Process.	2006	DBLP DOI BibTeX RDF
17	Lian Yan, Patrick Baldasare	Beyond classification and ranking: constrained optimization of the ROI.	KDD	2006	DBLP DOI BibTeX RDF	neural networks, constrained optimization, return on investment
17	Yiu-Tong Chan, K. C. Ho 0001	Joint time-scale and TDOA estimation: analysis and fast approximation.	IEEE Trans. Signal Process.	2005	DBLP DOI BibTeX RDF