2012 - ACM Distinguished Member
His primary scientific interests are in Information retrieval, Artificial intelligence, Time complexity, Data mining and Algorithm. Information retrieval is closely attributed to Image retrieval in his research. His Artificial intelligence research incorporates elements of Pattern recognition and Natural language processing.
His Data mining study combines topics in areas such as XML Catalog, XML validation, Efficient XML Interchange, Bitmap and Simple API for XML. His work on Computational complexity theory as part of general Algorithm research is frequently linked to Sequential algorithm, thereby connecting diverse disciplines of science. In Human–computer information retrieval, Vijay V. Raghavan works on issues like Content-based image retrieval, which are connected to Visual Word and Automatic image annotation.
Vijay V. Raghavan mainly investigates Data mining, Information retrieval, Artificial intelligence, Machine learning and Theoretical computer science. His Data mining research is multidisciplinary, relying on both Metasearch engine and Cluster analysis. Query expansion, Search engine, Human–computer information retrieval, Document retrieval and Vector space model are the primary areas of interest in his Information retrieval study.
His biological study spans a wide range of topics, including Query language and Ranking. His Query language study incorporates themes from Web query classification and Query optimization. His Artificial intelligence study combines topics from a wide range of disciplines, such as Natural language processing and Pattern recognition.
Vijay V. Raghavan spends much of his time researching Data mining, Artificial intelligence, Big data, Data science and Machine learning. The concepts of his Data mining study are interwoven with issues in Event, Recommender system and Sequence. His Recommender system study improves the overall literature in Information retrieval.
Artificial intelligence and Pattern recognition are frequently intertwined in his study. When carried out as part of a general Data science research project, his work on Analytics is frequently linked to work in Volume, therefore connecting diverse disciplines of study. His studies deal with areas such as Subspace topology and Gaussian process as well as Machine learning.
His primary areas of study are Data science, Big data, Artificial intelligence, Data mining and Stereochemistry. Vijay V. Raghavan combines subjects such as Social media, Software, Cross-validation and Drug with his study of Data science. His work deals with themes such as Key and Data management, Database, which intersect with Big data.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Natural language processing. Vijay V. Raghavan has included themes like Data modeling and Pattern recognition in his Machine learning study. His study in Data mining is interdisciplinary in nature, drawing from both Data-driven and Time series.
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Content based image retrieval systems
V.N. Gudivada;V.V. Raghavan.
IEEE Computer (1995)
A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions
C.R. Maurer;Rensheng Qi;V. Raghavan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)
A critical investigation of recall and precision as measures of retrieval system performance
Vijay Raghavan;Peter Bollmann;Gwang S. Jung.
ACM Transactions on Information Systems (1989)
A critical analysis of vector space model for information retrieval
Vijay V. Raghavan;S. K. M. Wong.
Journal of the Association for Information Science and Technology (1986)
Information retrieval on the World Wide Web
V.N. Gudivada;V.V. Raghavan;W.I. Grosky;R. Kasanagottu;R. Kasanagottu;R. Kasanagottu.
IEEE Internet Computing (1997)
Fully automatic wrapper generation for search engines
Hongkun Zhao;Weiyi Meng;Zonghuan Wu;Vijay Raghavan.
the web conference (2005)
Design and evaluation of algorithms for image retrieval by spatial similarity
Venkat N. Gudivada;Vijay V. Raghavan.
ACM Transactions on Information Systems (1995)
On modeling of information retrieval concepts in vector spaces
S. K.M. Wong;W. Ziarko;V. V. Raghavan;P. C.N. Wong.
ACM Transactions on Database Systems (1987)
On the reuse of past optimal queries
Vijay V. Raghavan;Hayri Sever.
international acm sigir conference on research and development in information retrieval (1995)
Genetic Algorithm for Clustering with an Ordered Representation.
Jay N. Bhuyan;Vijay V. Raghavan;Venkatesh K. Elayavalli.
Proc. of the 4th International Conference on Information Retrieval, 1991 (1991)
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