Search Results - "Houle, Michael"

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study by Campos, Guilherme O., Zimek, Arthur, Sander, Jörg, Campello, Ricardo J. G. B., Micenková, Barbora, Schubert, Erich, Assent, Ira, Houle, Michael E.

“…The evaluation of unsupervised outlier detection algorithms is a constant challenge in data mining research. Little is known regarding the strengths and…”
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Rank-Based Similarity Search: Reducing the Dimensional Dependence by Houle, Michael E., Nett, Michael

“…This paper introduces a data structure for k-NN search, the Rank Cover Tree (RCT), whose pruning tests rely solely on the comparison of similarity values;…”
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High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence by Amsaleg, Laurent, Bailey, James, Barbe, Amelie, Erfani, Sarah M., Furon, Teddy, Houle, Michael E., Radovanovic, Milos, Nguyen, Xuan Vinh

“…Machine learning systems are vulnerable to adversarial attack. By applying to the input object a small, carefully-designed perturbation, a classifier can be…”
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Expansion of the APC superfamily of secondary carriers by Vastermark, Ake, Wollwage, Simon, Houle, Michael E., Rio, Rita, Saier Jr, Milton H.

“…ABSTRACT The amino acid‐polyamine‐organoCation (APC) superfamily is the second largest superfamily of secondary carriers currently known. In this study, we…”
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Local Intrinsic Dimensionality, Entropy and Statistical Divergences by Bailey, James, Houle, Michael E., Ma, Xingjun

“…Properties of data distributions can be assessed at both global and local scales. At a highly localized scale, a fundamental measure is the local intrinsic…”
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Extreme-value-theoretic estimation of local intrinsic dimensionality by Amsaleg, Laurent, Chelly, Oussama, Furon, Teddy, Girard, Stéphane, Houle, Michael E., Kawarabayashi, Ken-ichi, Nett, Michael

“…This paper is concerned with the estimation of a local measure of intrinsic dimensionality (ID) recently proposed by Houle. The local model can be regarded as…”
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Introduction to Special Issue of the 9th International Conference on Similarity Search and Applications (SISAP 2016) by Amsaleg, Laurent, Houle, Michael E., Schubert, Erich

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Identification of distant Agouti-like sequences and re-evaluation of the evolutionary history of the Agouti-related peptide (AgRP) by Västermark, Åke, Krishnan, Arunkumar, Houle, Michael E, Fredriksson, Robert, Cerdá-Reverter, José Miguel, Schiöth, Helgi B

“…The Agouti-like peptides including AgRP, ASIP and the teleost-specific A2 (ASIP2 and AgRP2) peptides have potent and diverse functional roles in feeding,…”
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Efficient similarity search within user-specified projective subspaces by Houle, Michael E., Ma, Xiguo, Oria, Vincent, Sun, Jichao

“…Many applications — such as content-based image retrieval, subspace clustering, and feature selection — may benefit from efficient subspace similarity search…”
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Density-preserving projections for large-scale local anomaly detection by de Vries, Timothy, Chawla, Sanjay, Houle, Michael E.

“…Outlier or anomaly detection is a fundamental data mining task with the aim to identify data points, events, transactions which deviate from the norm. The…”
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On the separability of quadrilaterals in the plane by translations and rotations by Houle, Michael E., Toussaint, Godfried T.

“…A proof is given that for all positive integers n ≥ 7 there exist sets of n non-overlapping quadrilaterals in the plane, such that no non-empty proper subset…”
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A Non-hybrid Ant Colony Optimization Heuristic for Convergence Quality by Krynicki, Kamil, Houle, Michael E., Jaen, Javier

“…Ant Colony Optimization has proven to be an important optimization technique. It has provided a solid base for solving classical computational problems,…”
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Effective and Efficient Algorithms for Flexible Aggregate Similarity Search in High Dimensional Spaces by Houle, Michael E., Xiguo Ma, Oria, Vincent

“…Numerous applications in different fields, such as spatial databases, multimedia databases, data mining, and recommender systems, may benefit from efficient…”
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Improving the quality of K-NN graphs through vector sparsification: application to image databases by Houle, Michael E., Ma, Xiguo, Oria, Vincent, Sun, Jichao

“…K -nearest neighbor ( K -NN) graphs are an essential component of many established methods for content-based image retrieval and automated image annotation…”
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Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation by Bailey, James, Houle, Michael E., Ma, Xingjun

“…The local intrinsic dimensionality (LID) model assesses the complexity of data within the vicinity of a query point, through the growth rate of the probability…”
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Possible Warfarin Failure Due to Interaction with Smokeless Tobacco by Kuykendall, Jim R, Houle, Michael D, Rhodes, Richard S

“…OBJECTIVE To report a case of possible interaction of smokeless tobacco with warfarin in a patient treated after several thromboembolic events. CASE SUMMARY A…”
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The Relevant-Set Correlation Model for Data Clustering by Houle, Michael E.

“…This paper introduces a model for clustering, the Relevant‐Set Correlation (RSC) model, that requires no direct knowledge of the nature or representation of…”
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On local transformation of polygons with visibility properties by Hernando, Carmen, Houle, Michael E., Hurtado, Ferran

“…One strategy for the enumeration of a class of objects is local transformation, in which new objects of the class are produced by means of a small modification…”
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An efficient ant colony optimization strategy for the resolution of multi-class queries by Krynicki, Kamil, Houle, Michael E., Jaen, Javier

“…•The AAF algorithm enhanced with entropic ant reassignment.•AAF applied to multi-class resource quieres in graphs.•Examining the feasibility of ACO-powered…”
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Dimension-exchange algorithms for token distribution on tree-connected architectures by Houle, Michael E., Symvonis, Antonios, Wood, David R.

“…Load balancing on a multi-processor system involves redistributing tasks among processors so that each processor has roughly the same amount of work to…”
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