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The method uses a parameterized equation model and a lower bound on the input joint density to bound the likelihood that some behavior will occur, such as a state variable being inside a given numeric range. Using a bound on the density instead of the density itself is ","authors":["Yeh, Alexander"],"url":"https://arxiv.org/abs/1304.2382","arxiv_id":"1304.2382","published":"2026-06-04"},{"title":"For Solving Linear Equations Recombination is a Needless Operation in Time-Variant Adaptive Hybrid Algorithms","abstract":"Recently hybrid evolutionary computation (EC) techniques are successfully implemented for solving large sets of linear equations. All the recently developed hybrid evolutionary algorithms, for solving linear equations, contain both the recombination and the mutation operations. In this paper, two modified hybrid evolutionary algorithms contained time-variant adaptive evolutionary technique are proposed for solving li","authors":["Jamali, A. R. M. Jalal Uddin","Hossain, Mohammad Arif","Moniruzzaman, G. M.","Hashem, M. M. A."],"url":"https://arxiv.org/abs/1304.2545","arxiv_id":"1304.2545","published":"2026-06-04"},{"title":"Estimation Procedures for Robust Sensor Control","abstract":"Many robotic sensor estimation problems can characterized in terms of nonlinear measurement systems. These systems are contaminated with noise and may be underdetermined from a single observation. In order to get reliable estimation results, the system must choose views which result in an overdetermined system. This is the sensor control problem. Accurate and reliable sensor control requires an estimation procedure w","authors":["Hager, Greg","Mintz, Max"],"url":"https://arxiv.org/abs/1304.2757","arxiv_id":"1304.2757","published":"2026-06-04"},{"title":"Application of Evidential Reasoning to Helicopter Flight Path Control","abstract":"This paper presents a methodology for research and development of the inferencing and knowledge representation aspects of an Expert System approach for performing reasoning under uncertainty in support of a real time vehicle guidance and navigation system. Such a system could be of major benefit for non-terrain following low altitude flight systems operating in foreign hostile environments such as might be experience","authors":["Abel, Shoshana"],"url":"https://arxiv.org/abs/1304.3075","arxiv_id":"1304.3075","published":"2026-06-04"},{"title":"Information and Multi-Sensor Coordination","abstract":"The control and integration of distributed, multi-sensor perceptual systems is a complex and challenging problem. The observations or opinions of different sensors are often disparate incomparable and are usually only partial views. Sensor information is inherently uncertain and in addition the individual sensors may themselves be in error with respect to the system as a whole. The successful operation of a multi-sen","authors":["Hager, Greg","Durrant-Whyte, Hugh F."],"url":"https://arxiv.org/abs/1304.3088","arxiv_id":"1304.3088","published":"2026-06-04"},{"title":"An Approach to Solve Linear Equations Using a Time-Variant Adaptation Based Hybrid Evolutionary Algorithm","abstract":"For small number of equations, systems of linear (and sometimes nonlinear) equations can be solved by simple classical techniques. However, for large number of systems of linear (or nonlinear) equations, solutions using classical method become arduous. On the other hand evolutionary algorithms have mostly been used to solve various optimization and learning problems. Recently, hybridization of evolutionary algorithm ","authors":["Jamali, A. R. M. Jalal Uddin","Hashem, M. M. A.","Rahman, Md. Bazlar"],"url":"https://arxiv.org/abs/1304.3200","arxiv_id":"1304.3200","published":"2026-06-04"},{"title":"Spectral Compressed Sensing via Structured Matrix Completion","abstract":"The paper studies the problem of recovering a spectrally sparse object from a small number of time domain samples. Specifically, the object of interest with ambient dimension $n$ is assumed to be a mixture of $r$ complex multi-dimensional sinusoids, while the underlying frequencies can assume any value in the unit disk. Conventional compressed sensing paradigms suffer from the {\\em basis mismatch} issue when imposing","authors":["Chen, Yuxin","Chi, Yuejie"],"url":"https://arxiv.org/abs/1304.4610","arxiv_id":"1304.4610","published":"2026-06-04"},{"title":"Learning Geo-Temporal Non-Stationary Failure and Recovery of Power Distribution","abstract":"Smart energy grid is an emerging area for new applications of machine learning in a non-stationary environment. Such a non-stationary environment emerges when large-scale failures occur at power distribution networks due to external disturbances such as hurricanes and severe storms. Power distribution networks lie at the edge of the grid, and are especially vulnerable to external disruptions. Quantifiable approaches ","authors":["Wei, Yun","Ji, Chuanyi","Galvan, Floyd","Couvillon, Stephen","Orellana, George","Momoh, James"],"url":"https://arxiv.org/abs/1304.7710","arxiv_id":"1304.7710","published":"2026-06-04"},{"title":"Robust Spectral Compressed Sensing via Structured Matrix Completion","abstract":"The paper explores the problem of \\emph{spectral compressed sensing}, which aims to recover a spectrally sparse signal from a small random subset of its $n$ time domain samples. The signal of interest is assumed to be a superposition of $r$ multi-dimensional complex sinusoids, while the underlying frequencies can assume any \\emph{continuous} values in the normalized frequency domain. Conventional compressed sensing p","authors":["Chen, Yuxin","Chi, Yuejie"],"url":"https://arxiv.org/abs/1304.8126","arxiv_id":"1304.8126","published":"2026-06-04"},{"title":"A least-squares method for sparse low rank approximation of multivariate functions","abstract":"In this paper, we propose a low-rank approximation method based on discrete least-squares for the approximation of a multivariate function from random, noisy-free observations. Sparsity inducing regularization techniques are used within classical algorithms for low-rank approximation in order to exploit the possible sparsity of low-rank approximations. Sparse low-rank approximations are constructed with a robust upda","authors":["Chevreuil, Mathilde","Lebrun, Régis","Nouy, Anthony","Rai, Prashant"],"url":"https://arxiv.org/abs/1305.0030","arxiv_id":"1305.0030","published":"2026-06-04"},{"title":"Quantile Regression for Large-scale Applications","abstract":"Quantile regression is a method to estimate the quantiles of the conditional distribution of a response variable, and as such it permits a much more accurate portrayal of the relationship between the response variable and observed covariates than methods such as Least-squares or Least Absolute Deviations regression. It can be expressed as a linear program, and, with appropriate preprocessing, interior-point methods c","authors":["Yang, Jiyan","Meng, Xiangrui","Mahoney, Michael W."],"url":"https://arxiv.org/abs/1305.0087","arxiv_id":"1305.0087","published":"2026-06-04"},{"title":"Tensor Decompositions: A New Concept in Brain Data Analysis?","abstract":"Matrix factorizations and their extensions to tensor factorizations and decompositions have become prominent techniques for linear and multilinear blind source separation (BSS), especially multiway Independent Component Analysis (ICA), NonnegativeMatrix and Tensor Factorization (NMF/NTF), Smooth Component Analysis (SmoCA) and Sparse Component Analysis (SCA). Moreover, tensor decompositions have many other potential a","authors":["Cichocki, Andrzej"],"url":"https://arxiv.org/abs/1305.0395","arxiv_id":"1305.0395","published":"2026-06-04"},{"title":"A Convex Functional for Image Denoising based on Patches with Constrained Overlaps and its vectorial application to Low Dose Differential Phase Tomography","abstract":"We solve the image denoising problem with a dictionary learning technique by writing a convex functional of a new form. This functional contains beside the usual sparsity inducing term and fidelity term, a new term which induces similarity between overlapping patches in the overlap regions. The functional depends on two free regularization parameters: a coefficient multiplying the sparsity-inducing $L_{1}$ norm of th","authors":["Mirone, Alessandro","Brun, Emmanuel","Coan, Paola"],"url":"https://arxiv.org/abs/1305.1256","arxiv_id":"1305.1256","published":"2026-06-04"},{"title":"Hybrid fuzzy logic and pid controller based ph neutralization pilot plant","abstract":"Use of Control theory within process control industries has changed rapidly due to the increase complexity of instrumentation, real time requirements, minimization of operating costs and highly nonlinear characteristics of chemical process. Previously developed process control technologies which are mostly based on a single controller are not efficient in terms of signal transmission delays, processing power for comp","authors":["Naseer, Oumair","Khan, Atif Ali"],"url":"https://arxiv.org/abs/1305.2752","arxiv_id":"1305.2752","published":"2026-06-04"},{"title":"Fast Linearized Alternating Direction Minimization Algorithm with Adaptive Parameter Selection for Multiplicative Noise Removal","abstract":"Owing to the edge preserving ability and low computational cost of the total variation (TV), variational models with the TV regularization have been widely investigated in the field of multiplicative noise removal. The key points of the successful application of these models lie in: the optimal selection of the regularization parameter which balances the data-fidelity term with the TV regularizer; the efficient algor","authors":["Chen, Dai-Qiang","Cheng, Li-Zhi"],"url":"https://arxiv.org/abs/1305.3006","arxiv_id":"1305.3006","published":"2026-06-04"},{"title":"Conditions for Convergence in Regularized Machine Learning Objectives","abstract":"Analysis of the convergence rates of modern convex optimization algorithms can be achived through binary means: analysis of emperical convergence, or analysis of theoretical convergence. These two pathways of capturing information diverge in efficacy when moving to the world of distributed computing, due to the introduction of non-intuitive, non-linear slowdowns associated with broadcasting, and in some cases, gather","authors":["Hop, Patrick","Pan, Xinghao"],"url":"https://arxiv.org/abs/1305.4081","arxiv_id":"1305.4081","published":"2026-06-04"},{"title":"Note on Evaluation of Hierarchical Modular Systems","abstract":"This survey note describes a brief systemic view to approaches for evaluation of hierarchical composite (modular) systems. The list of considered issues involves the following: (i) basic assessment scales (quantitative scale, ordinal scale, multicriteria description, two kinds of poset-like scales), (ii) basic types of scale transformations problems, (iii) basic types of scale integration methods. Evaluation of the m","authors":["Levin, Mark Sh."],"url":"https://arxiv.org/abs/1305.4917","arxiv_id":"1305.4917","published":"2026-06-04"},{"title":"Towards Detection of Bottlenecks in Modular Systems","abstract":"The paper describes some basic approaches to detection of bottlenecks in composite (modular) systems. The following basic system bottlenecks detection problems are examined: (1) traditional quality management approaches (Pareto chart based method, multicriteria analysis as selection of Pareto-efficient points, and/or multicriteria ranking), (2) selection of critical system elements (critical components/modules, criti","authors":["Levin, Mark Sh."],"url":"https://arxiv.org/abs/1306.0128","arxiv_id":"1306.0128","published":"2026-06-04"},{"title":"Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics","abstract":"We study a probabilistic numerical method for the solution of both boundary and initial value problems that returns a joint Gaussian process posterior over the solution. Such methods have concrete value in the statistics on Riemannian manifolds, where non-analytic ordinary differential equations are involved in virtually all computations. The probabilistic formulation permits marginalising the uncertainty of the nume","authors":["Hennig, Philipp","Hauberg, Søren"],"url":"https://arxiv.org/abs/1306.0308","arxiv_id":"1306.0308","published":"2026-06-04"},{"title":"PyHST2: an hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities","abstract":"We present the PyHST2 code which is in service at ESRF for phase-contrast and absorption tomography. This code has been engineered to sustain the high data flow typical of the third generation synchrotron facilities (10 terabytes per experiment) by adopting a distributed and pipelined architecture. The code implements, beside a default filtered backprojection reconstruction, iterative reconstruction techniques with a","authors":["Mirone, Alessandro","Gouillart, Emmanuelle","Brun, Emmanuel","Tafforeau, Paul","Kieffer, Jerome"],"url":"https://arxiv.org/abs/1306.1392","arxiv_id":"1306.1392","published":"2026-06-04"},{"title":"Spectral Convergence of the connection Laplacian from random samples","abstract":"Spectral methods that are based on eigenvectors and eigenvalues of discrete graph Laplacians, such as Diffusion Maps and Laplacian Eigenmaps are often used for manifold learning and non-linear dimensionality reduction. It was previously shown by Belkin and Niyogi \\cite{belkin_niyogi:2007} that the eigenvectors and eigenvalues of the graph Laplacian converge to the eigenfunctions and eigenvalues of the Laplace-Beltram","authors":["Singer, Amit","Wu, Hau-tieng"],"url":"https://arxiv.org/abs/1306.1587","arxiv_id":"1306.1587","published":"2026-06-04"},{"title":"Fast greedy algorithm for subspace clustering from corrupted and incomplete data","abstract":"We describe the Fast Greedy Sparse Subspace Clustering (FGSSC) algorithm providing an efficient method for clustering data belonging to a few low-dimensional linear or affine subspaces. The main difference of our algorithm from predecessors is its ability to work with noisy data having a high rate of erasures (missed entries with the known coordinates) and errors (corrupted entries with unknown coordinates). We discu","authors":["Petukhov, Alexander","Kozlov, Inna"],"url":"https://arxiv.org/abs/1306.1716","arxiv_id":"1306.1716","published":"2026-06-04"},{"title":"Large Margin Low Rank Tensor Analysis","abstract":"Other than vector representations, the direct objects of human cognition are generally high-order tensors, such as 2D images and 3D textures. From this fact, two interesting questions naturally arise: How does the human brain represent these tensor perceptions in a "manifold" way, and how can they be recognized on the "manifold"? In this paper, we present a supervised model to learn the intrinsic stru","authors":["Zhong, Guoqiang","Cheriet, Mohamed"],"url":"https://arxiv.org/abs/1306.2663","arxiv_id":"1306.2663","published":"2026-06-04"},{"title":"Precisely Verifying the Null Space Conditions in Compressed Sensing: A Sandwiching Algorithm","abstract":"In this paper, we propose new efficient algorithms to verify the null space condition in compressed sensing (CS). Given an $(n-m) \\times n$ ($m>0$) CS matrix $A$ and a positive $k$, we are interested in computing $\\displaystyle α_k = \\max_{\\{z: Az=0,z\\neq 0\\}}\\max_{\\{K: |K|\\leq k\\}}$ ${\\|z_K \\|_{1}}{\\|z\\|_{1}}$, where $K$ represents subsets of $\\{1,2,...,n\\}$, and $|K|$ is the cardinality of $K$. In particular, we","authors":["Cho, Myung","Xu, Weiyu"],"url":"https://arxiv.org/abs/1306.2665","arxiv_id":"1306.2665","published":"2026-06-04"},{"title":"Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC","abstract":"State-space models are successfully used in many areas of science, engineering and economics to model time series and dynamical systems. We present a fully Bayesian approach to inference \\emph{and learning} (i.e. state estimation and system identification) in nonlinear nonparametric state-space models. We place a Gaussian process prior over the state transition dynamics, resulting in a flexible model able to capture ","authors":["Frigola, Roger","Lindsten, Fredrik","Schön, Thomas B.","Rasmussen, Carl E."],"url":"https://arxiv.org/abs/1306.2861","arxiv_id":"1306.2861","published":"2026-06-04"}],"history":{"events":[{"year":2025,"text":"A crowd crush outside M. Chinnaswamy Stadium during celebrations of Royal Challengers Bengaluru's Indian Premier League title killed 11 people and injured 56 others.","url":"https://en.wikipedia.org/wiki/2025_Bengaluru_crowd_crush"},{"year":2005,"text":"The Civic Forum of the Romanians of Covasna, Harghita and Mureș was founded to represent and promote the interests of ethnic Romanians in areas with large Hungarian populations.","url":"https://en.wikipedia.org/wiki/Civic_Forum_of_the_Romanians_of_Covasna%2C_Harghita_and_Mure%C8%99"},{"year":2004,"text":"In Granby, Colorado, U.S., Marvin Heemeyer went on a rampage with a modified bulldozer over a zoning dispute, destroying several buildings before dying by suicide.","url":"https://en.wikipedia.org/wiki/Granby%2C_Colorado"},{"year":1998,"text":"Terry Nichols was sentenced to life in prison for his role in the Oklahoma City bombing.","url":"https://en.wikipedia.org/wiki/Terry_Nichols"},{"year":1989,"text":"Following the death of Ruhollah Khomeini, the Assembly of Experts elected Ali Khamenei to be Supreme Leader of Iran.","url":"https://en.wikipedia.org/wiki/Ruhollah_Khomeini"},{"year":1989,"text":"The People's Liberation Army suppressed the Tiananmen Square protests in Beijing, leaving hundreds of people dead and wounded.","url":"https://en.wikipedia.org/wiki/People's_Liberation_Army"},{"year":1987,"text":"American intelligence analyst Jonathan Pollard pleaded guilty to charges of spying for Israel.","url":"https://en.wikipedia.org/wiki/Intelligence_assessment"},{"year":1979,"text":"Jerry Rawlings came to power in Ghana as chairman of the Armed Forces Revolutionary Council.","url":"https://en.wikipedia.org/wiki/Jerry_Rawlings"},{"year":1977,"text":"The Humboldt Park riot began in Chicago, resulting in three deaths, three cars in the Humboldt Park lagoon, and increased tension between the Chicago Police Department and the Puerto Rican community.","url":"https://en.wikipedia.org/wiki/Humboldt_Park_riot"},{"year":1975,"text":"Governor Jerry Brown signed the California Agricultural Labor Relations Act, one of the first laws in the United States guaranteeing collective bargaining rights to farmworkers.","url":"https://en.wikipedia.org/wiki/Jerry_Brown"},{"year":1974,"text":"Major League Baseball's Cleveland Indians hosted Ten-Cent Beer Night, but had to forfeit the game to the Texas Rangers due to rioting by drunken fans.","url":"https://en.wikipedia.org/wiki/Major_League_Baseball"},{"year":1967,"text":"A chartered British Midland Airways aircraft crashed near Stockport, England, killing 72 of the 84 people on board.","url":"https://en.wikipedia.org/wiki/British_Midland_International"},{"year":1944,"text":"World War II: A United States Navy task group captured German submarine U-505 (pictured).","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1942,"text":"World War II: The Battle of Midway, a major battle of the Pacific War, began with a massive Japanese offensive on American forces on Midway Atoll.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1940,"text":"Second World War: The remaining Allied forces protecting the Dunkirk evacuation surrendered, ending the Battle of Dunkirk; in response, British prime minister Winston Churchill gave a speech in which he declared \"We shall fight on the beaches\".","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1913,"text":"Emily Davison, an activist for women's suffrage in the United Kingdom, was fatally injured after being trampled by a horse owned by King George V at the Epsom Derby.","url":"https://en.wikipedia.org/wiki/Emily_Davison"},{"year":1792,"text":"Captain George Vancouver of the Royal Navy claimed the land around Puget Sound in the Pacific Northwest for Great Britain.","url":"https://en.wikipedia.org/wiki/George_Vancouver"},{"year":1784,"text":"Élisabeth Thible became the first woman to fly in an untethered hot air balloon, covering a distance of 4 km (2.5 mi) and reaching an estimated altitude of 1,500 m (4,900 ft).","url":"https://en.wikipedia.org/wiki/%C3%89lisabeth_Thible"}],"births":[{"year":2021,"text":"Princess Lilibet of Sussex","url":"https://en.wikipedia.org/wiki/Princess_Lilibet_of_Sussex"},{"year":2004,"text":"Mackenzie Ziegler, American child actress, dancer, and recording artist","url":"https://en.wikipedia.org/wiki/Mackenzie_Ziegler"},{"year":2001,"text":"Choerry, South Korean singer and member of Loona","url":"https://en.wikipedia.org/wiki/Choerry"},{"year":2001,"text":"Takefusa Kubo, Japanese footballer","url":"https://en.wikipedia.org/wiki/Takefusa_Kubo"},{"year":1999,"text":"Kim So-hyun, South Korean actress","url":"https://en.wikipedia.org/wiki/Kim_So-hyun"},{"year":1999,"text":"Drew Pavlou, Australian activist","url":"https://en.wikipedia.org/wiki/Drew_Pavlou"},{"year":1998,"text":"Central Cee, British rapper and songwriter","url":"https://en.wikipedia.org/wiki/Central_Cee"},{"year":1996,"text":"Oli McBurnie, Scottish footballer","url":"https://en.wikipedia.org/wiki/Oli_McBurnie"}],"deaths":[{"year":2025,"text":"Marc Garneau, Canadian astronaut and Member of Parliament (born 1949)","url":"https://en.wikipedia.org/wiki/Marc_Garneau"},{"year":2024,"text":"John Blackman, Australian radio and television presenter (born 1947)","url":"https://en.wikipedia.org/wiki/John_Blackman"},{"year":2024,"text":"Parnelli Jones, American racing driver (born 1933)","url":"https://en.wikipedia.org/wiki/Parnelli_Jones"},{"year":2023,"text":"Sulochana Latkar, Indian actress (born 1928)","url":"https://en.wikipedia.org/wiki/Sulochana_Latkar"},{"year":2022,"text":"George Lamming, Barbadian novelist (born 1927)","url":"https://en.wikipedia.org/wiki/George_Lamming"},{"year":2021,"text":"Clarence Williams III, American actor (born 1939)","url":"https://en.wikipedia.org/wiki/Clarence_Williams_III"},{"year":2017,"text":"Juan Goytisolo, Spanish essayist, poet and novelist (born 1931)","url":"https://en.wikipedia.org/wiki/Juan_Goytisolo"},{"year":2016,"text":"Carmen Pereira, Bissau-Guinean politician (born 1937)","url":"https://en.wikipedia.org/wiki/Carmen_Pereira"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}