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Learning-based hashing algorithms are ``hot topics" because they can greatly increase the scale at which existing methods operate. In this paper, we propose a new learning-based hashing method called ``fast supervised discrete hashing"…

Machine Learning · Computer Science 2019-04-09 Jie Gui , Tongliang Liu , Zhenan Sun , Dacheng Tao , Tieniu Tan

We define notions of differentiability for maps from and to the space of persistence barcodes. Inspired by the theory of diffeological spaces, the proposed framework uses lifts to the space of ordered barcodes, from which derivatives can be…

Algebraic Topology · Mathematics 2021-05-05 Jacob Leygonie , Steve Oudot , Ulrike Tillmann

We consider two basic algorithmic problems concerning tuples of (skew-)symmetric matrices. The first problem asks to decide, given two tuples of (skew-)symmetric matrices $(B_1, \dots, B_m)$ and $(C_1, \dots, C_m)$, whether there exists an…

Data Structures and Algorithms · Computer Science 2019-02-08 Gábor Ivanyos , Youming Qiao

Tagging items with descriptive annotations or keywords is a very natural way to compress and highlight information about the properties of the given entity. Over the years several methods have been proposed for extracting a hierarchy…

Information Retrieval · Computer Science 2014-01-23 Gergely Tibély , Péter Pollner , Tamás Vicsek , Gergely Palla

Hashing method maps similar data to binary hashcodes with smaller hamming distance, and it has received a broad attention due to its low storage cost and fast retrieval speed. However, the existing limitations make the present algorithms…

Computer Vision and Pattern Recognition · Computer Science 2016-09-29 Shifeng Zhang , Jianmin Li , Jinma Guo , Bo Zhang

Consider an experiment involving a potentially small number of subjects. Some random variables are observed on each subject: a high-dimensional one called the "observed" random variable, and a one-dimensional one called the "outcome" random…

Machine Learning · Statistics 2018-06-15 Tarun Yellamraju , Mireille Boutin

We continue the investigation of tabular algebras with trace (a certain class of associative ${\Bbb Z}[v, v^{-1}]$-algebras equipped with distinguished bases) by determining the extent to which the tabular structure may be recovered from a…

Quantum Algebra · Mathematics 2007-05-23 R. M. Green

Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtained by composing multiple non-linear transformations.…

Card-based cryptography uses physical playing cards to construct protocols for secure multi-party computation. Existing card-based protocols employ various types of shuffles, some of which are easy to implement in practice while others are…

Cryptography and Security · Computer Science 2026-05-15 Tomoki Ono , Suthee Ruangwises

Although cuckoo hashing has significant applications in both theoretical and practical settings, a relevant downside is that it requires lookups to multiple locations. In many settings, where lookups are expensive, cuckoo hashing becomes a…

Data Structures and Algorithms · Computer Science 2011-04-28 Martin Dietzfelbinger , Michael Mitzenmacher , Michael Rink

Given a suitable collection of partitions of sets, there exists a connection to easy quantum groups via intertwiner maps. A sufficient condition for this correspondence to be one-to-one are particular linear independences on the level of…

Combinatorics · Mathematics 2019-06-26 Stefan Jung

Differential privacy is a strong notion for protecting individual privacy in privacy preserving data analysis or publishing. In this paper, we study the problem of differentially private histogram release for random workloads. We study two…

Databases · Computer Science 2012-02-27 Yonghui Xiao , Li Xiong , Liyue Fan , Slawomir Goryczka

Dictionary learning is a cornerstone of image classification. We set out to address a longstanding challenge in using dictionary learning for classification; that is to simultaneously maximise the discriminability and…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Rasool Ameri , Ali Alameer , Saideh Ferdowsi , Kianoush Nazarpour , Vahid Abolghasemi

The information theoretic approach to security entails harnessing the correlated randomness available in nature to establish security. It uses tools from information theory and coding and yields provable security, even against an adversary…

Information Theory · Computer Science 2016-03-23 Himanshu Tyagi , Alexander Vardy

Discovery of (strong) association rules, or implications, is an important task in data management, and it finds application in artificial intelligence, data mining and the semantic web. We introduce a novel approach for the discovery of a…

Databases · Computer Science 2017-01-27 Kira Adaricheva , J. B. Nation

An independent set in a graph is a set of pairwise non-adjacent vertices. Let $\alpha(G)$ denote the cardinality of a maximum independent set in the graph $G = (V, E)$. Gutman and Harary defined the independence polynomial of $G$ \[ I(G;x)…

Combinatorics · Mathematics 2022-01-04 Ohr Kadrawi , Vadim E. Levit , Ron Yosef , Matan Mizrachi

This paper uses typed linear algebra (LA) to represent data and perform analytical querying in a single, unified framework. The typed approach offers strong type checking (as in modern programming languages) and a diagrammatic way of…

Let $m$ be a positive integer and $D_m(\mathcal {A})$ be the $m$-periodic derived category of a finitary hereditary abelian category $\mathcal {A}$. Applying the derived Hall numbers of the bounded derived category $D^b(\mathcal {A})$, we…

Representation Theory · Mathematics 2023-06-01 Haicheng Zhang

We give a sufficient condition for an algebraic structure to have a computable presentation with a computable basis and a computable presentation with no computable basis. We apply the condition to differentially closed, real closed, and…

Logic · Mathematics 2015-06-11 Matthew Harrison-Trainor , Alexander Melnikov , Antonio Montalbán

Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bounds for feature hashing and show that the interaction…

Artificial Intelligence · Computer Science 2010-02-27 Kilian Weinberger , Anirban Dasgupta , Josh Attenberg , John Langford , Alex Smola
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