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In this paper, we empirically evaluate algorithms for learning four types of Bayesian network (BN) classifiers - Naive-Bayes, tree augmented Naive-Bayes, BN augmented Naive-Bayes and general BNs, where the latter two are learned using two…

Machine Learning · Computer Science 2013-01-30 Jie Cheng , Russell Greiner

We re-examine the classification of supersymmetric extended objects in the light of the recently discovered Type II p-branes, previously thought not to exist for p> 1. We find new points on the brane-scan only in D = 10 and then only for p…

High Energy Physics - Theory · Physics 2011-07-19 M. J. Duff , J. X. Lu

Legged robots are popular candidates for missions in challenging terrains due to the wide variety of locomotion strategies they can employ. Terrain classification is a key enabling technology for autonomous legged robots, as it allows the…

Robotics · Computer Science 2020-11-25 Ahmadreza Ahmadi , Tønnes Nygaard , Navinda Kottege , David Howard , Nicolas Hudson

A generalization of the Maldacena conjecture asserts that Type IIB string theory on $\S^5/\Z_3$ is equivalent to a certain supersymmetric $SU(N)^3$ gauge theory with bifundamental matter. To test this assertion, we analyze the wrapped…

High Energy Physics - Theory · Physics 2010-04-07 Sergei Gukov , Mukund Rangamani , Edward Witten

A efficient incremental learning algorithm for classification tasks, called NetLines, well adapted for both binary and real-valued input patterns is presented. It generates small compact feedforward neural networks with one hidden layer of…

Artificial Intelligence · Computer Science 2009-04-30 Juan-Manuel Torres-Moreno , Mirta B. Gordon

Convolutional neural networks have achieved astonishing results in different application areas. Various methods which allow us to use these models on mobile and embedded devices have been proposed. Especially binary neural networks seem to…

Machine Learning · Computer Science 2018-09-28 Joseph Bethge , Haojin Yang , Christian Bartz , Christoph Meinel

Metastable supersymmetry breaking configurations of D-branes and NS5-branes in string theory often owe their existence to classical gravitational interactions between the branes. We show that in the effective theory of the light fields,…

High Energy Physics - Theory · Physics 2009-09-28 Amit Giveon , David Kutasov , Jock McOrist , Andrew B. Royston

We complete the classification of half-supersymmetric branes in toroidally compactified IIA/IIB string theory in terms of representations of the T-duality group. As a by-product we derive a last wrapping rule for the space-filling branes.…

High Energy Physics - Theory · Physics 2015-06-03 Eric A. Bergshoeff , Alessio Marrani , Fabio Riccioni

We investigate the supersymmetric index of N=2,3 SU(n) supersymmetric Yang-Mills Chern Simons theories at level k by using the brane configuration with a (p,q)5-brane. We can explain that the supersymmetry breaking occurs when k<n in terms…

High Energy Physics - Theory · Physics 2009-10-31 Kazutoshi Ohta

In this article we conjecture a relationship between 5d SCFT's, that can be engineered by 5-brane webs in the presence of an $O5^-$-plane, and 4d class S theories of type D. The specific relation is that compactification on a circle of the…

High Energy Physics - Theory · Physics 2016-08-03 Gabi Zafrir

Our work focuses on tackling the challenging but natural visual recognition task of long-tailed data distribution (i.e., a few classes occupy most of the data, while most classes have rarely few samples). In the literature, class…

Computer Vision and Pattern Recognition · Computer Science 2020-03-11 Boyan Zhou , Quan Cui , Xiu-Shen Wei , Zhao-Min Chen

Network embedding methodologies, which learn a distributed vector representation for each vertex in a network, have attracted considerable interest in recent years. Existing works have demonstrated that vertex representation learned through…

Machine Learning · Computer Science 2018-08-22 Vachik S. Dave , Baichuan Zhang , Pin-Yu Chen , Mohammad Al Hasan

Within medical imaging, manual curation of sufficient well-labeled samples is cost, time and scale-prohibitive. To improve the representativeness of the training dataset, for the first time, we present an approach to utilize large amounts…

Computer Vision and Pattern Recognition · Computer Science 2019-06-03 Fernando Navarro , Sailesh Conjeti , Federico Tombari , Nassir Navab

We test several expected isomorphisms between the U(N)xU(N) ABJM theory and (SU(N)xSU(N))/Z_N theory including the BLG theory by comparing their superconformal indices. From moduli space analysis, it is expected that this equivalence can…

High Energy Physics - Theory · Physics 2015-06-11 Masazumi Honda , Yoshinori Honma

Abnormal growth of cells in the brain and its surrounding tissues is known as a brain tumor. There are two types, one is benign (non-cancerous) and another is malignant (cancerous) which may cause death. The radiologists' ability to…

Image and Video Processing · Electrical Eng. & Systems 2023-10-05 Abu Kaisar Mohammad Masum , Nusrat Badhon , S. M. Saiful Islam Badhon , Nushrat Jahan Ria , Sheikh Abujar , Muntaser Mansur Syed , Naveed Mahmud

Standard deep neural networks (DNNs) are commonly trained in an end-to-end fashion for specific tasks such as object recognition, face identification, or character recognition, among many examples. This specificity often leads to…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 Raphaël Achddou , J. Matias di Martino , Guillermo Sapiro

We discuss Type IIB 5-brane configurations for 5d $\mathcal{N}=1$ gauge theories with hypermultiplets in the rank-3 antisymmetric representation and with various other hypermultiplets, which flow to a UV fixed point at the infinite…

High Energy Physics - Theory · Physics 2019-05-24 Hirotaka Hayashi , Sung-Soo Kim , Kimyeong Lee , Futoshi Yagi

5d Superconformal Field Theories (SCFTs) are intrinsically strongly-coupled UV fixed points, whose realization hinges on string theoretic methods: they can be constructed by compactifying M-theory on local Calabi-Yau threefold singularities…

High Energy Physics - Theory · Physics 2025-03-05 Antoine Bourget , Andrés Collinucci , Sakura Schafer-Nameki

String theory contains various extended objects. Among those, objects of codimension two (such as the D7-brane) are particularly interesting. Codimension two objects carry non-Abelian charges which are elements of a discrete U-duality group…

High Energy Physics - Theory · Physics 2014-11-19 Jan de Boer , Daniel R. Mayerson , Masaki Shigemori

Machine Unlearning has emerged as a critical area in artificial intelligence, addressing the need to selectively remove learned data from machine learning models in response to data privacy regulations. This paper provides a comprehensive…