Browsing E-print Articles by Title

Browsing E-print Articles by Title

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  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-12)
    We consider the generic deep image enhancement problem where an input image is transformed into a perceptually better-looking image. Recent methods for image enhancement consider the problem by performing style transfer ...
  • Bedathur, Srikanta; Bhattacharya, Indrajit; Choudhari, Jayesh; Dasgupta, Anirban (Cornell University Library, 2018-09)
    Social media conversations unfold based on complex interactions between users, topics and time. While recent models have been proposed to capture network strengths between users, users' topical preferences and temporal ...
  • Banerjee, Suman; Pal, Bithika (Cornell University Library, 2020-04)
    Given a graph, and a set of query vertices (subset of the vertices), the dynamic skyline query problem returns a subset of data vertices (other than query vertices) which are not dominated by other data vertices based on ...
  • Banerjee, Suman; Jenamani, Mamata; Pratihar, Dilip Kumar (Cornell University Library, 2020-04)
    Given a social network with nonuniform selection cost of the users, the problem of \textit{Budgeted Influence Maximization} (BIM in short) asks for selecting a subset of the nodes within an allocated budget for initial ...
  • Doshi, Ishita; Sajjalla, Sreekalyan; Choudhari, Jayesh; Bhatt, Rushi; Dasgupta, Anirban (Cornell University Library, 2020-08)
    We address the problem of large scale real time classification of content posted on social networks, along with the need to rapidly identify novel spam types. Obtaining manual labels for user generated content using editorial ...
  • Banerjee, Suman; Pal, Bithika (Cornell University Library, 2020-07)
  • Jain, Harshil; Agarwal, Akshat; Shridhar, Kumar; Kleyko, Denis (Cornell University Library, 2020-10)
    Deep neural networks have demonstrated their superior performance in almost every Natural Language Processing task, however, their increasing complexity raises concerns. In particular, these networks require high expenses ...
  • Das, Bireswar; Pal, Manjish; Visavaliya, Vijay (arXiv, Cornell University Library, 2011-10)
    In this paper, we prove that most of the boolean functions, f : {−1, 1} n → {−1, 1}satisfy the Fourier Entropy Influence (FEI) Conjecture due to Friedgut and Kalai(Proc. AMS’96)[1]. The conjecture says that the Entropy of ...
  • Misra, Neeldhara; Sonar, Chinmay; Vaidyanathan, P. R.; Vaish, Rohit (Cornell University Library, 2021-01)
    We study fair resource allocation under a connectedness constraint wherein a set of indivisible items are arranged on a path and only connected subsets of items may be allocated to the agents. An allocation is deemed fair ...
  • Misra, Neeldhara; Nanoti, Saraswati Girish (Cornell University Library, 2022-01)
    Eternal Vertex Cover problem is a dynamic variant of the vertex cover problem. We have a two player game in which guards are placed on some vertices of a graph. In every move, one player (the attacker) attacks an edge. In ...
  • Jain, Naman; Singh, Mayank (Cornell University Library, 2019-06)
    Digital advancement in scholarly repositories has led to the emergence of a large number of open access predatory publishers that charge high article processing fees from authors but fail to provide necessary editorial and ...
  • Kumar, Jatin; Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2021-11)
    In this paper, we present a Fast Motion Deblurring-Conditional Generative Adversarial Network (FMD-cGAN) that helps in blind motion deblurring of a single image. FMD-cGAN delivers impressive structural similarity and visual ...
  • Dasgupta, Anirban; Langy, Kevin; Rhodesz, Lee; Thalerx, Justin (Cornell University Library, 2015-10)
    Given [Math Processing Error] distributed data streams [Math Processing Error], we consider the problem of estimating the number of unique identifiers in streams defined by set expressions over [Math Processing Error]. We ...
  • Adak, Sayantan; Vyas, Atharva; Mukherjee, Animesh; Ambavi, Heer; Kadasi, Pritam; Singh, Mayank; Patel, Shivam (Cornell University Library, 2020-06)
    We introduce an AI-enabled portal that presents an excellent visualization of Mahatma Gandhis life events by constructing temporal and spatial social networks from the Gandhian literature. Applying an ensemble of methods ...
  • Gupta, Manoj; Singh, Aditi (Cornell University Library, 2018-05)
    Given an undirected unweighted graph G and a source set S of |S|=? sources, we want to build a data structure which can process the following query {\sc Q}(s,t,e): find the shortest distance from s to t avoiding an edge ...
  • Sadekar, Kaustubh; Singh, Prajwal; Raman, Shanmuganathan (Cornell University Library, 2021-01)
    Handwritten document image binarization is a challenging task due to high diversity in the content, page style, and condition of the documents. While the traditional thresholding methods fail to generalize on such challenging ...
  • Anand, Mrinal; Harilal, Nidhin; Kumar, Chandan; Raman, Shanmuganathan (Cornell University Library, 2021-10)
    High dynamic range (HDR) videos provide a more visually realistic experience than the standard low dynamic range (LDR) videos. Despite having significant progress in HDR imaging, it is still a challenging task to capture ...
  • Srivastava, Vivek; Singh, Mayank (Cornell University Library, 2021-07)
    Text generation is a highly active area of research in the computational linguistic community. The evaluation of the generated text is a challenging task and multiple theories and metrics have been proposed over the years. ...
  • Kayal, Pratik; Anand, Mrinal; Desai, Harsh; Singh, Mayank (Cornell University Library, 2021-05)
    Tables present important information concisely in many scientific documents. Visual features like mathematical symbols, equations, and spanning cells make structure and content extraction from tables embedded in research ...

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