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Space-time memory (STM) based video object segmentation (VOS) networks usually keep increasing memory bank every several frames, which shows excellent performance. However, 1) the hardware cannot withstand the ever-increasing memory…

Computer Vision and Pattern Recognition · Computer Science 2022-05-10 Mingxing Li , Li Hu , Zhiwei Xiong , Bang Zhang , Pan Pan , Dong Liu

This paper considers fully dynamic graph algorithms with both faster worst case update time and sublinear space. The fully dynamic graph connectivity problem is the following: given a graph on a fixed set of n nodes, process an online…

Data Structures and Algorithms · Computer Science 2015-09-23 David Gibb , Bruce Kapron , Valerie King , Nolan Thorn

Dense associative memories (DAM), are widespread models in artificial intelligence used for pattern recognition tasks; computationally, they have been proven to be robust against adversarial input and theoretically, leveraging their analogy…

Disordered Systems and Neural Networks · Physics 2022-11-09 Elena Agliari , Alberto Fachechi , Chiara Marullo

PIM architectures aim to reduce data transfer costs between processors and memory by integrating processing units within memory layers. Prior PIM architectures have shown potential to improve energy efficiency and performance. However, such…

Hardware Architecture · Computer Science 2025-10-10 Parker Hao Tian , Zahra Yousefijamarani , Alaa Alameldeen

Logic optimization constitutes a critical phase within the Electronic Design Automation (EDA) flow, essential for achieving desired circuit power, performance, and area (PPA) targets. These logic circuits are typically represented as…

Computational Complexity · Computer Science 2025-12-16 Junfeng Liu , Qinghua Zhao , Liwei Ni , Jingren Wang , Biwei Xie , Xingquan Li , Bei Yu , Shuai Ma

A data structure is presented that explicitly maintains the graph of a Voronoi diagram of $N$ point sites in the plane or the dual graph of a convex hull of points in three dimensions while allowing insertions of new sites/points. Our…

Computational Geometry · Computer Science 2020-07-06 Elena Arseneva , John Iacono , Grigorios Koumoutsos , Stefan Langerman , Boris Zolotov

We investigate how feature correlations influence the capacity of Dense Associative Memory (DAM), a Transformer attention-like model. Practical machine learning scenarios involve feature-correlated data and learn representations in the…

Machine Learning · Computer Science 2025-08-05 Stefan Bielmeier , Gerald Friedland

In this paper we present new data structures for two extensively studied variants of the orthogonal range searching problem. First, we describe a data structure that supports two-dimensional orthogonal range minima queries in $O(n)$ space…

Data Structures and Algorithms · Computer Science 2020-07-23 Yakov Nekrich

Video data is with complex temporal dynamics due to various factors such as camera motion, speed variation, and different activities. To effectively capture this diverse motion pattern, this paper presents a new temporal adaptive module…

Computer Vision and Pattern Recognition · Computer Science 2021-08-19 Zhaoyang Liu , Limin Wang , Wayne Wu , Chen Qian , Tong Lu

We consider the problem of maintaining a dynamic set of integers and answering queries of the form: report a point (equivalently, all points) in a given interval. Range searching is a natural and fundamental variant of integer search, and…

Data Structures and Algorithms · Computer Science 2007-05-23 Christian Worm Mortensen , Rasmus Pagh , Mihai Patrascu

A major challenge in place recognition for autonomous driving is to be robust against appearance changes due to short-term (e.g., weather, lighting) and long-term (seasons, vegetation growth, etc.) environmental variations. A promising…

Computer Vision and Pattern Recognition · Computer Science 2019-08-02 Anh-Dzung Doan , Yasir Latif , Tat-Jun Chin , Yu Liu , Thanh-Toan Do , Ian Reid

Dense Associative Memory (DAM) models have been attracting renewed attention since they were shown to be robust to adversarial examples and closely related to cutting edge machine learning paradigms, such as the attention mechanism and…

Machine Learning · Computer Science 2026-01-27 Robin Thériault , Daniele Tantari

In a variety of applications, we need to keep track of the development of a data set over time. For maintaining and querying this multi version data I/O-efficiently, external memory data structures are required. In this paper, we present a…

General Literature · Computer Science 2007-05-23 Saju Jude Dominic , G. Sajith

The target of human pose estimation is to determine body part or joint locations of each person from an image. This is a challenging problems with wide applications. To address this issue, this paper proposes an augmented parallel-pyramid…

Computer Vision and Pattern Recognition · Computer Science 2020-03-18 Luanxuan Hou , Jie Cao , Yuan Zhao , Haifeng Shen , Yiping Meng , Ran He , Jieping Ye

Cardiac anatomy segmentation is useful for clinical assessment of cardiac morphology to inform diagnosis and intervention. Deep learning (DL), especially with motion information, has improved segmentation accuracy. However, existing…

Computer Vision and Pattern Recognition · Computer Science 2025-09-09 Md. Kamrul Hasan , Guang Yang , Choon Hwai Yap

Deterministically solving charged particle transport problems at a sufficient spatial and angular resolution is often prohibitively expensive, especially due to their highly forward peaked scattering. We propose a model order reduction…

Numerical Analysis · Mathematics 2025-01-13 Pia Stammer , Tiberiu Burlacu , Niklas Wahl , Danny Lathouwers , Jonas Kusch

Discrete Element Methods (DEM), i.e.~the simulation of many rigid particles, suffer from very stiff differential equations plus multiscale challenges in space and time. The particles move smoothly through space until they interact almost…

Mathematical Software · Computer Science 2023-09-28 Peter Noble , Tobias Weinzierl

Consider the problem of maintaining a family $F$ of dynamic sets subject to insertions, deletions, and set-intersection reporting queries: given $S,S'\in F$, report every member of $S\cap S'$ in any order. We show that in the word RAM…

Data Structures and Algorithms · Computer Science 2015-05-06 Tsvi Kopelowitz , Seth Pettie , Ely Porat

In this paper we show that two-dimensional nearest neighbor queries can be answered in optimal $O(\log n)$ time while supporting insertions in $O(\log^{1+\varepsilon}n)$ time. No previous data structure was known that supports $O(\log…

Data Structures and Algorithms · Computer Science 2025-04-11 John Iacono , Yakov Nekrich

Quarter level cell (QLC) 3D NAND flash memory is emerging as the predominant storage solution in the era of artificial intelligence. QLC 3D NAND flash stores 4 bit per cell to expand the storage density, resulting in narrower read margins.…

Hardware Architecture · Computer Science 2025-11-04 Qianhui Li , Weiya Wang , Qianqi Zhao , Tong Qu , Jing He , Xuhong Qiang , Jingwen Hou , Ke Chen , Bao Zhang , Qi Wang
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