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Accurately predicting water table dynamics is vital for sustaining groundwater resources that support ecological functions and anthropogenic activities. This study evaluates a statistical model (BigVAR) that handles three major…

Applications · Statistics 2024-12-03 Alokesh Manna , Sushant Mehan , Devendra M. Amatya

The resonant excesses around 2 TeV reported by the ATLAS Collaboration can be explained in the left-right model, and the tight constraints from lepton plus missing energy searches can be evaded if the $SU(2)_R$ gauge symmetry is…

High Energy Physics - Phenomenology · Physics 2016-01-20 Kasinath Das , Tianjun Li , S. Nandi , Santosh Kumar Rai

We present an independent validation and comprehensive re-calibration of S-PLUS Ultra-Short Survey (USS) DR1 12-band photometry using about 30,000--70,000 standard stars from the BEst STar (BEST) database. We identify spatial variation of…

A weighted string over an alphabet of size $\sigma$ is a string in which a set of letters may occur at each position with respective occurrence probabilities. Weighted strings, also known as position weight matrices or uncertain sequences,…

Data Structures and Algorithms · Computer Science 2015-12-09 Carl Barton , Chang Liu , Solon P. Pissis

The bandwidth of a graph is the labeling of vertices with minimum maximum edge difference. For many graph families this is NP-complete. A classic result computes the bandwidth for the hypercube. We generalize this result to give sharp lower…

Discrete Mathematics · Computer Science 2007-05-23 Tanya Y. Berger-Wolf , Mitchell A. Harris

We use a new algorithm to find the stress-carrying backbone of ``generic'' site-diluted triangular lattices of up to 10^6 sites. Generic lattices can be made by randomly displacing the sites of a regular lattice. The percolation threshold…

Statistical Mechanics · Physics 2009-10-28 Cristian F. Moukarzel , Phillip M. Duxbury

Deep learning provides the opportunity to improve upon conflicting reports considering the relationship between the Amazon river's fish and dolphin abundance and reduced canopy cover as a result of deforestation. Current methods of fish and…

Computer Vision and Pattern Recognition · Computer Science 2020-07-28 Stefan Schneider , Alex Zhuang

Dataset pruning has been widely studied for 2D images to remove redundancy and accelerate training, while particular pruning methods for 3D data remain largely unexplored. In this work, we study dataset pruning for 3D data, where its…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Xiaohan Zhao , Xinyi Shang , Jiacheng Liu , Zhiqiang Shen

We consider various two-dimensional lattices such as square, Kagome, Lieb, honeycomb, dice lattices of finite extent, to study the effect of lattice profile in terms of the number of nearest neighbour and connectivity patterns on the…

Statistical Mechanics · Physics 2026-05-07 Nimish Sharma , Tanay Nag

Water balance models (WBMs) are often employed to understand regional hydrologic cycles over various time scales. Most WBMs, however, are physically-based, and few employ state-of-the-art statistical methods to reconcile independent input…

Applications · Statistics 2018-05-18 Joeseph P. Smith , Andrew D. Gronewold

In this position paper, we argue that many post-mortem generalization measures -- those computed on trained networks -- are \textbf{fragile}: small training modifications that barely affect the performance of the underlying deep neural…

Machine Learning · Computer Science 2026-02-12 Shuofeng Zhang , Ard Louis

In this paper, we show that Bandwidth is hard for the complexity class $W[t]$ for all $t\in {\bf N}$, even for caterpillars with hair length at most three. As intermediate problem, we introduce the Weighted Path Emulation problem: given a…

Computational Complexity · Computer Science 2020-12-03 Hans L. Bodlaender

Monitoring cow body weight is crucial to support farm management decisions due to its direct relationship with the growth, nutritional status, and health of dairy cows. Cow body weight is a repeated trait, however, the majority of previous…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Ye Bi , Leticia M. Campos , Jin Wang , Haipeng Yu , Mark D. Hanigan , Gota Morota

The channel estimation is one of important techniques to ensure reliable broadband signal transmission. Broadband channels are often modeled as a sparse channel. Comparing with traditional dense-assumption based linear channel estimation…

Information Theory · Computer Science 2014-07-24 Guan Gui , Li Xu , Fumiyuki Adachi

This work presents several expected generalization error bounds based on the Wasserstein distance. More specifically, it introduces full-dataset, single-letter, and random-subset bounds, and their analogues in the randomized subsample…

Machine Learning · Statistics 2022-03-29 Borja Rodríguez-Gálvez , Germán Bassi , Ragnar Thobaben , Mikael Skoglund

The enormous demand for seafood products has led to exploitation of marine resources and near-extinction of some species. In particular, overfishing is one the main issues in sustainable marine development. In alignment with the protection…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Febrian Kurniawan , Gandeva Bayu Satrya , Firuz Kamalov

Vertically weighted averages perform a bilateral filtering of data, in order to preserve fine details of the underlying signal, especially discontinuities such as jumps (in dimension one) or edges (in dimension two). In homogeneous regions…

Methodology · Statistics 2018-03-20 Ansgar Steland

We consider a the minimum k-way cut problem for unweighted graphs with a size bound s on the number of cut edges allowed. Thus we seek to remove as few edges as possible so as to split a graph into k components, or report that this requires…

Discrete Mathematics · Computer Science 2011-01-27 Ken-ichi Kawarabayashi , Mikkel Thorup

Identifying individual salmon can be very beneficial for the aquaculture industry as it enables monitoring and analyzing fish behavior and welfare. For aquaculture researchers identifying individual salmon is imperative to their research.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-21 Bjørn Magnus Mathisen , Kerstin Bach , Espen Meidell , Håkon Måløy , Edvard Schreiner Sjøblom

Odds ratios or p_values from individual observational studies can be combined to examine a common cause_effect research question in meta_analysis. However, reliability of individual studies used in meta_analysis should not be taken for…

Applications · Statistics 2023-06-06 Warren B. Kindzierski , S. Stanley Young , John D. Dunn