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FunctionalGeometryAlignmentandLocalizationofBrainAreas
From: VideoLectures on Sat, Mar 26 2011 11:27 AM
Matching functional brain regions across individuals is a challenging task, largely due to the variability in their location and extent. It is particularly difficult, but highly relevant, for patients with pathologies such as brain tumors, which can cause substantial reorganization of functional...
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Layeredimagemotionwithexplicitocclusionstemporalconsistencyanddepthordering
From: VideoLectures on Sat, Mar 26 2011 11:27 AM
Layered models are a powerful way of describing natural scenes containing smooth surfaces that may overlap and occlude each other. For image motion estimation, such models have a long history but have not achieved the wide use or accuracy of non-layered methods. We present a new probabilistic mo...
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OnaConnectionbetweenImportanceSamplingandtheLikelihoodRatioPolicyGradient
From: VideoLectures on Sat, Mar 26 2011 11:27 AM
Likelihood ratio policy gradient methods have been some of the most successful reinforcement learning algorithms, especially for learning on physical systems. We describe how the likelihood ratio policy gradient can be derived from an importance sampling perspective. This derivation highlights h...
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MultipleKernelLearningandtheSMOAlgorithm
From: VideoLectures on Sat, Mar 26 2011 11:27 AM
Our objective is to train p-norm Multiple Kernel Learning (MKL) and, more generally, linear MKL regularised by the Bregman divergence, using the Sequential Minimal Optimization (SMO) algorithm. The SMO algorithm is simple, easy to implement and adapt, and efficiently scales to large problems. As...
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SampleComplexityofTestingtheManifoldHypothesis
From: VideoLectures on Sat, Mar 26 2011 11:27 AM
The hypothesis that high dimensional data tends to lie in the vicinity of a low dimensional manifold is the basis of a collection of methodologies termed Manifold Learning. In this paper, we study statistical aspects of the question of fitting a manifold with a nearly optimal least squared error...
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ProbabilisticDeterministicInfiniteAutomata
From: VideoLectures on Sat, Mar 26 2011 11:27 AM
We propose a novel Bayesian nonparametric approach to learning with probabilistic deterministic finite automata (PDFA). We define and develop and sampler for a PDFA with an infinite number of states which we call the probabilistic deterministic infinite automata (PDIA). Posterior predictive infer...
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PrigrizeksTiO2odloitevjevaa
From: VideoLectures on Fri, Mar 25 2011 11:26 AM
Nanodelci imajo zaradi svojih dimenzij posebne lastnosti, ki omogočajo njihovo uporabo na najrazličnejših področjih. Zaradi vse večje proizvodnje in uporabe, smo jim vse bolj izpostavljeni, o njihovih učinkih na ljudi in okolje pa je znano zelo malo. Nanodelci titanovega dioksida (TiO2) so eni i...
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OnlineLearningforLatentDirichletAllocation
From: VideoLectures on Fri, Mar 25 2011 11:26 AM
We develop an online variational Bayes (VB) algorithm for Latent Dirichlet Allocation (LDA). Online LDA is based on online stochastic optimization with a natural gradient step, which we show converges to a local optimum of the VB objective function. It can handily analyze massive document collec...
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Nanogradnjaavtomatizacijagradnjestavbspomojonanoinbiotehnologije
From: VideoLectures on Fri, Mar 25 2011 11:26 AM
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Biomimetinetekstilije
From: VideoLectures on Fri, Mar 25 2011 11:26 AM
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MinimumAverageCostClustering
From: VideoLectures on Fri, Mar 25 2011 11:25 AM
A number of objective functions in clustering problems can be described with submodular functions. In this paper, we introduce the minimum average cost criterion, and show that the theory of intersecting submodular functions can be used for clustering with submodular objective functions. The pro...
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Abiologicallyplausiblenetworkforthecomputationoforientationdominance
From: VideoLectures on Fri, Mar 25 2011 11:25 AM
The determination of dominant orientation at a given image location is formulated as a decision-theoretic question. This leads to a novel measure for the dominance of a given orientation $\theta$, which is similar to that used by SIFT. It is then shown that the new measure can be computed with a...
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Synergiesinlearningwordsandtheirreferents
From: VideoLectures on Fri, Mar 25 2011 11:25 AM
This paper presents Bayesian non-parametric models that simultaneously learn to segment words from phoneme strings and learn the referents of some of those words, and shows that there is a synergistic interaction in the acquisition of these two kinds of linguistic information. The models themsel...
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Lecture21VietnamandAlgeria
From: VideoLectures on Fri, Mar 25 2011 11:24 AM
France’s colonial territories were of very high importance after the embarrassment of occupation during World War II. Algeria, in particular, was a complicated case because it involved large numbers of French settlers, the pieds-noirs. Despite international support for Algerian independence, rig...
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PresentationoftheRegionalCooperationCouncilRCC
From: VideoLectures on Fri, Mar 25 2011 11:24 AM
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GraphbasedMethodsforSocialSearch
From: VideoLectures on Sat, Mar 19 2011 10:54 PM
Recent developments in Web 2.0 and Cyberinfrastructure technologies create massive computer mediated networks, where the nodes might be people as well as “non-human agents” such as documents, datasets, analytic tools, and concepts. And these networks become more and more “multidimensional”. Sear...
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GraphbasedMethodsforSocialSearch
From: VideoLectures on Sat, Mar 19 2011 10:54 PM
Recent developments in Web 2.0 and Cyberinfrastructure technologies create massive computer mediated networks, where the nodes might be people as well as “non-human agents” such as documents, datasets, analytic tools, and concepts. And these networks become more and more “multidimensional”. Sear...
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Lecture2TheParisCommuneandItsLegacy
From: VideoLectures on Sat, Mar 19 2011 10:54 PM
The Paris Commune of 1871 remained a potent force in Europe for several generations afterwards. The reprisals following the fall of the Commune anticipated the great massacres of the twentieth century. While the brief reign of the communards witnessed serious adversity in the form of food shortag...
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GraphbasedMethodsforSocialSearch
From: VideoLectures on Sat, Mar 19 2011 10:54 PM
Recent developments in Web 2.0 and Cyberinfrastructure technologies create massive computer mediated networks, where the nodes might be people as well as “non-human agents” such as documents, datasets, analytic tools, and concepts. And these networks become more and more “multidimensional”. Sear...
0 of 5 Stars
GraphbasedMethodsforSocialSearch
From: VideoLectures on Sat, Mar 19 2011 10:54 PM
Recent developments in Web 2.0 and Cyberinfrastructure technologies create massive computer mediated networks, where the nodes might be people as well as “non-human agents” such as documents, datasets, analytic tools, and concepts. And these networks become more and more “multidimensional”. Sear...
0 of 5 Stars

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