We present a new categorical classification framework for D-brane charges on noncommutative manifolds using methods of bivariant K-theory. We describe several applications including an explicit formula for D-brane charge in cyclic homology, a refine…

We present a new categorical classification framework for D-brane charges on noncommutative manifolds using methods of bivariant K-theory. We describ…

In conclusion, we show that a Minkowski-type spacetime structure arises as an emergent property of three-dimensional space when described by Clifford multivectors of Cℓ(R3), as shown in Eq. (2.13). Previous attempts to describe spacetime with Cliffo…

Following Minkowski's formulation of special relativity, it is generally accepted that we live in a four-dimensional world consisting of three space …

This paper presents a constructive algorithm that achieves successful one-shot learning of hidden spike-patterns in a competitive detection task. It …

Deep feedforward neural networks with piecewise linear activations are currently producing the state-of-the-art results in several public datasets. T…

A significant weakness of most current deep Convolutional Neural Networks is the need to train them using vast amounts of manu- ally labelled data. I…

Sparsity-based representations have recently led to notable results in various visual recognition tasks. In a separate line of research, Riemannian m…

Negotiation, as a seller or buyer, is an essential and complicated aspect of online shopping. It is challenging for an intelligent agent because it r…

We propose a method for visual question answering which combines an internal representation of the content of an image with information extracted fro…

Using lattice QCD, we reveal a fundamental connection between centre vortices and several key features associated with dynamical chiral symmetry brea…

This paper introduces the Packing While Traveling problem as a new non-linear knapsack problem. Given are a set of cities that have a set of items of…

In this paper, we consider a partially linear model of the form $Y_t=X_t^{\tau}\theta_0+g(V_t)+\epsilon_t$, $t=1,...,n$, where $\{V_t\}$ is a $\beta$…

Learning compact binary codes for image retrieval problem using deep neural networks has attracted increasing attention recently. However, training d…

Humans inevitably develop a sense of the relationships between objects, some of which are based on their appearance. Some pairs of objects might be s…

The (non-localised) equivariant coarse index is defined completely analogously to the case for discrete groups, but with Roe algebras defined in terms of the admissible modules from Subsection 2.1.

The equivariant coarse index is well-understood and widely used for actions by discrete groups. We extend the definition of this index to general loc…

In this paper, we propose an efficient semidefinite programming (SDP) approach to worst-case linear discriminant analysis (WLDA). Compared with the t…

Conditional Random Fields (CRF) have been widely used in a variety of computer vision tasks. Conventional CRFs typically define edges on neighboring …

This paper proposes to improve visual question answering (VQA) with structured representations of both scene contents and questions. A key challenge …

The use of high-dimensional features has become a normal practice in many computer vision applications. The large dimension of these features is a li…

We study the parameter space of the constrained exceptional supersymmetric standard model (cE6SSM) consistent with a Higgs signal near 125 GeV and th…

The first hint of neutrino mass hierarchy is expected to come from the NO$\nu$A experiment in Fermilab as the present best-fit parameter space i.e., …

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