Algorithms for Multi-Modal Target Distributions
Testing k-Modal Distributions: Optimal Algorithms via Reductions
... k-modal distributions by leveraging the known lower bound constructions in a black-box ...of distributions, the variation distance between their transformations is identical to the variation distance ...
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Comparison of multi-modal optimization algorithms based on evolutionary algorithms
... Multi-modal EAs dates back to the ground-breaking work of Goldberg and Richardson [6], in which they nicely showed how a niche-preserving technique can be introduced in a standard genetic algorithm and ...
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Multi-modal albedo distributions in the ablation area of the southwestern Greenland Ice Sheet
... Appendix A: Field spectroscopy measurements At the start of each transect, the ASD was calibrated to cur- rent hemispherical atmospheric conditions by orienting the RCR skyward along a nadir-viewing angle. Subsequent ...
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Computer Model for Evaluating Multi Target Tracking Algorithms
... evaluate multi-target tracking ...tracking algorithms with various test ...tracking algorithms with the complexity of multitarget tracking sce- narios directly controlled by simulation inputs ...
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Using an adaptive collection of local evolutionary algorithms for multi-modal problems
... Abstract Multi-modality can cause serious problems for many optimisers, often resulting convergence to sub-optimal ...disparate modal solutions of practical ...search algorithms for niche/mode ...
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Characterizing Dynamic Optimization Benchmarks for the Comparison of Multi-Modal Tracking Algorithms
... a commonly used metric is the standard error measurement. Error is the difference between the optimal solution and the best found solution in terms of a given fitness function. Error only measures an algorithm’s ability ...
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Efficient algorithms for the 2-Way Multi Modal Shortest Path Problem
... Introduction Multi modal transportation networks include roads, public transportation, bicycle, ...A multi modal path on such a network may consist of several transportation ...2-Way ...
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Learning $k$-Modal Distributions via Testing
... estimating distributions under various kinds of “shape” or “order” ...1) distributions; see for example the works of [23, 26, 17, 3, 4, 5], among many ...learning algorithms for larger values of ...
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Robust Multi-Modal Optimisation
... on multi- modal optimization ...disturbance distributions (see ...disturbance distributions to these func- tions to transform them into robust ...all distributions implemented were ...
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Learning Multi-modal Similarity
... Our contributions in this work are two-fold. First, we develop the partial order embedding (POE) framework (McFee and Lanckriet, 2009b), which allows us to use graph-theoretic algorithms to filter a collection of ...
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Contextual Inter modal Attention for Multi modal Sentiment Analysis
... the target utterance and the context ut- ...better multi- modal feature representation when these modali- ties from the context are combined with the modal- ities of the target ...for ...
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Multi-modal analysis of aerosol robotic network size distributions for remote sensing applications: dominant aerosol type cases
... With regard to estimation of the accuracy of the methods developed here, the mean bias b, standard error of the fit s, and the degrees-of-freedom-adjusted coefficient of determi- nation R 2 were found to be very useful ...
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Multi-Modal Emotional Database: AvID
... or multi-modal) used either for assessing biometric identification/verification or emo- tion recognition algorithms, such as the XM2VTS [9], the Cohn-Kanade [4] and the eNTERFACE’05 [8] databases, ...
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Grounding Symbols in Multi Modal Instructions
... • The processed graph is recursively traversed until all nodes have been visited at least once. Knowing the format of our abstract plan lan- guage, we know that action would always correspond to the verb in the input ...
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A Multi-modal Approach for Highway Assessment
... the Target In the process of reconsidering the method of the Austrian standard the usefulness of defining travel speed as primary measure of traffic quality was also ...
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BIOMETRICAL IDENTITY MULTI-MODAL SOLUTIONS
... The main application advantage is that it is not dependent from any specific hardware manufacturer for biometrical data collection, or biometrical algorithms providers, which allows to use and integrate ...
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Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis
... for multi-modal data fusion, known as a multi-kernel learning and performed automatic diagnosis of ...performed multi-modal imaging with T1-weighted high resolution scans, diffusion ...
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Multi-Atlas based Segmentation of Multi-Modal Brain Images
... 1.1 Multi-modal Multi-Atlas Segmentation Problem The multi-atlas approach takes advantage of more information from multiple atlases and is more robust to anatomical variations than single ...
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Particle Filtering with Multi Proposal Distributions
... Nonlinear filtering problems exist in many fields including statistical signal processing, bio-statistics, economics, and engineering such as communications, radar tracking, sonar ranging, target tracking, car ...
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Multi Modal Method: A Design Method for Building Multi Modal Systems
... Multi Modal Method A Design Method for Building Multi Modal Systems Multi Modal Method A Design M e t h o d for Building Multi Modal Systems H i d e o S h i m a z u a n d Y o s u k e T a k a s h i m a[.] ...
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