Department of Computer Science and Information Systems: Recent submissions

  • Gavankar, Chetana (ACL anthology, 2012)
    In this paper we present work done towards populating a domain ontology using a public knowledge base like DBpedia. Using an academic ontology as our target we identify mappings between a subset of its predicates and ...
  • Gavankar, Chetana (CEUR, 2013)
    Semantic Web ontologies are fast-growing knowledge sources on the Web. Searching relevant concepts from this large repository is a challenging problem. The current Semantic Web search engines provide either (1) ...
  • Gavankar, Chetana (IEEE, 2013)
    Within the broad area of information extraction, we study the problem of effective dictionary curation in an enterprise setting. Equipped with an ontology, representative of the domain of an enterprise, our approach populates ...
  • Gavankar, Chetana (ACL anthology, 2014)
    We study the problem of ontology population for a domain ontology and present solutions based on semi-automatic techniques. A domain ontology for an organization, often consists of classes whose instances are either specific ...
  • Gavankar, Chetana (ACM Digital Library, 2015-10)
    Concepts in ontologies can be used in many scenarios, including annotation of online resources, automatic ontology population, and document classification to improve web search results. Collectively, tens of millions of ...
  • Gavankar, Chetana (Springer, 2016)
    Finding relevant concepts from a corpus of ontologies is useful in many scenarios, such as document classification, web page annotation, and automatic ontology population. Many millions of concepts are contained in a large ...
  • Gavankar, Chetana (ACM Digital Library, 2018)
    Biomedical research is drowning in data, yet starving for knowledge. As the volume of scientific literature is growing unprecedentedly, revolutionary measures are needed for data management. Accessibility, analysis and ...
  • Parameswaran, Seetha (Springer, 2020-06)
    Facial expression detection is a well-studied domain in which facial features are extracted and then classified into six common expressions. One of the most common techniques used for extracting features is the Gabor filter. ...
  • Ghosal, Sugata (Elsevier, 1993-02)
    A new approach to detect step edges with subpixel accuracy is presented. The proposed approach is based on a set of orthogonal complex moments of the image known as Zernike moments. An ideal two-dimensional (2D) step edge ...
  • Ghosal, Sugata (IEEE, 1993)
    A new approach to range image segmentation is presented. The proposed approach involves two phases in which the region and edge information detected using a set of orthogonal Zernike moment-based operators are combined to ...
  • Ghosal, Sugata (IEEE, 1994-01)
    The paper presents a new parametric model-based approach to high-precision composite edge detection using orthogonal Zernike moment-based operators. It deals with two types of composite edges: (a) generalized step and (b) ...
  • Ghosal, Sugata (IEEE, 2002-08)
    Application of neural networks for guiding solutions of large numerical problems is an emerging area of research. Automatic generation of subdomains from large 3D finite element meshes is a key preprocessing step in domain ...
  • Ghosal, Sugata (Elsevier, 1995)
    This paper presents an integrated neural net-based approach to the segmentation of range images into distinct surfaces, which is an essential step in range image analysis and interpretation. A two-stage connectionist neural ...
  • Ghosal, Sugata (IEEE, 1996)
    Automatic target recognition (ATR) applications require simultaneously a wide field of view (FOV) for better detection and situation awareness, high resolution for target recognition and threat assessment, and high frame ...
  • Ghosal, Sugata (IEEE, 1996-02)
    Multiple moving objects, partially occluded objects, or even a single object moving against the background gives rise to discontinuities in the optical flow field in corresponding image sequences. While uniform global ...
  • Ghosal, Sugata (IEEE, 1997-06)
    In this paper, a novel model-based approach is proposed for generating a set of image feature maps (or primal sketches). For each type of feature, a piecewise smooth parametric model is developed to characterize the local ...
  • Ghosal, Sugata (IEEE, 2002-06)
    Most interactive "query-by-example" based image retrieval systems utilize relevance feedback from the user for bridging the gap between the user's implied concept and the low-level image representation in the database. ...
  • Ghosal, Sugata (Elsevier, 2002-08)
    This chapter presents a novel technique for improving the accuracy of adaptable similarity based retrieval by incorporating negative relevance judgment, and demonstrates excellent performance and robustness of the proposed ...
  • Ghosal, Sugata (ACM Digital Library, 2002-12)
    Inherent subjectivity in user's perception of an image has motivated the use of relevance feedback (RF) in the image desigined output's retrieval process. RF techniques interactively determine the user's query concept, ...
  • Ghosal, Sugata (IEEE, 2005-04)
    Logical reorganization of data and requirements of differentiated QoS in information systems necessitate bulk data migration by the underlying storage layer. Such data migration needs to ensure that regular client I/Os are ...

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