2011 - ACM Paris Kanellakis Theory and Practice Award For fundamental contributions to the development of multidimensional spatial data structures and indexing.
2010 - Fellow of the American Association for the Advancement of Science (AAAS)
1996 - ACM Fellow For research and contributions in the area of hierarchical data structures for applications in spatial data bases for computer graphics, image processing, geographic information systems, and robotics.
1991 - IEEE Fellow For contributions in the area of hierarchical data structures for applications in spatial data bases for computer graphics and image processing.
Hanan Samet mainly investigates Algorithm, Quadtree, Theoretical computer science, Artificial intelligence and Data structure. Her studies deal with areas such as Pixel and Data mining as well as Algorithm. The study incorporates disciplines such as Discrete mathematics, Image processing, Computer graphics, Tree and Product in addition to Quadtree.
Her Theoretical computer science research is multidisciplinary, relying on both Polygon, Hierarchical database model, Representation, Vertex and Line segment. Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Line, Computer vision and Pattern recognition. The various areas that Hanan Samet examines in her Data structure study include Time complexity, Path and Polyhedron.
Her main research concerns Algorithm, Quadtree, Data mining, Information retrieval and Artificial intelligence. Hanan Samet works mostly in the field of Algorithm, limiting it down to topics relating to Theoretical computer science and, in certain cases, Spatial network and Vertex, as a part of the same area of interest. The Quadtree study combines topics in areas such as Image processing, Hierarchical database model, Representation, Computer graphics and Tree.
Her Data mining research is multidisciplinary, incorporating elements of Spatial query, Spatial database, Spatial analysis and Geographic information system. Her Information retrieval study integrates concerns from other disciplines, such as World Wide Web and Interface. Hanan Samet interconnects Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
Her primary areas of investigation include Information retrieval, Data mining, World Wide Web, Geotagging and Artificial intelligence. Her Data mining research integrates issues from Spatial query, Spatial database, Index and Trajectory. Her Spatial database research includes themes of Quadtree and Computer graphics.
Her research in Artificial intelligence tackles topics such as Machine learning which are related to areas like Inference. Her Spatial analysis study frequently links to other fields, such as Theoretical computer science. Her studies in Filter integrate themes in fields like Algorithm and Computation.
Hanan Samet mostly deals with Information retrieval, World Wide Web, Interface, Artificial intelligence and Geotagging. Her work carried out in the field of Information retrieval brings together such families of science as Process, Data mining, Database, Window and Set. Her study in the field of Mobile device also crosses realms of Data quality.
As a part of the same scientific study, Hanan Samet usually deals with the Artificial intelligence, concentrating on Machine learning and frequently concerns with Inference. Her work investigates the relationship between Inference and topics such as Filter that intersect with problems in Algorithm. Her work in the fields of Algorithm, such as Computation, intersects with other areas such as Sparse matrix.
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The design and analysis of spatial data structures
The Quadtree and Related Hierarchical Data Structures
ACM Computing Surveys (1984)
Foundations of Multidimensional and Metric Data Structures
Hanan Samet;Jim Gray.
Applications of spatial data structures: Computer graphics, image processing, and GIS
Pruning Filters for Efficient ConvNets
Hao Li;Asim Kadav;Igor Durdanovic;Hanan Samet.
international conference on learning representations (2016)
Applications of spatial data structures
Distance browsing in spatial databases
Gísli R. Hjaltason;Hanan Samet.
ACM Transactions on Database Systems (1999)
TwitterStand: news in tweets
Jagan Sankaranarayanan;Hanan Samet;Benjamin E. Teitler;Michael D. Lieberman.
advances in geographic information systems (2009)
A general approach to connected-component labeling for arbitrary image representations
Michael B. Dillencourt;Hanan Samet;Markku Tamminen.
Journal of the ACM (1992)
Index-driven similarity search in metric spaces (Survey Article)
Gisli R. Hjaltason;Hanan Samet.
ACM Transactions on Database Systems (2003)
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