Index for fogg

Fogg, C. * 2016: High Dynamic Range and Wide Color Gamut Video Coding in HEVC: Status and Potential Future Enhancements

Fogg, D.A. * 1984: Contour to Rectangular Grid Conversion Using Minimal Curvature
* 1993: Vegetation-Limited Ground-to-Air Surveillance

Foggia, P. * 1996: Distance Measure for Structural Descriptions Using Circular Arcs as Primitives, A
* 1996: Efficient Algorithm for the Inexact Matching of ARG Graphs Using a Contextual Transformational Model, An
* 1997: Character Recognition by Geometrical Moments on Structural Decompositions
* 1997: Classification reliability and its use in multi-classifier systems
* 1998: Graph Matching: A Fast Algorithm and its Evaluation
* 1999: Combining statistical and structural approaches for handwritten character description
* 1999: Definition and Validation of a Distance Measure Between Structural Primitives
* 1999: Multiclassification: reject criteria for the Bayesian combiner
* 1999: Performance evaluation of the VF graph matching algorithm
* 2000: Fast Graph Matching for Detecting CAD Image Components
* 2001: Prototyping Structural Shape Descriptions by Inductive Learning
* 2002: Learning structural shape descriptions from examples
* 2003: Graph matching applications in pattern recognition and image processing
* 2003: large database of graphs and its use for benchmarking graph isomorphism algorithms, A
* 2003: real-time text-independent speaker identification system, A
* 2004: Object Tracking Algorithm Combining Different Cost Functions, An
* 2004: Sub)Graph Isomorphism Algorithm for Matching Large Graphs, A
* 2005: Evaluation and Improvements of a Real-Time Background Subtraction Method
* 2006: Graph-Based Method for Detecting and Classifying Clusters in Mammographic Images, A
* 2006: graph-based, multi-resolution algorithm for tracking objects in presence of occlusions, A
* 2006: Unsupervised Algorithm for Anchor Shot Detection, An
* 2007: Assessing the Performance of a Graph-Based Clustering Algorithm
* 2007: Evaluating Classification Reliability for Combining Classifiers
* 2007: Graph-Based Clustering Method and Its Applications, A
* 2007: Stereo Vision for Obstacle Detection: A Graph-Based Approach
* 2009: Algorithm for Detection of Partially Camouflaged People, An
* 2009: Benchmarking graph-based clustering algorithms
* 2009: Impact of Reliability Evaluation on a Semi-supervised Learning Approach, The
* 2010: Counting Moving People in Videos by Salient Points Detection
* 2010: Graph Embedding for Pattern Recognition
* 2010: Method Based on the Indirect Approach for Counting People in Crowded Scenes, A
* 2010: Method for Counting People in Crowded Scenes, A
* 2010: Performance Evaluation of a People Tracking System on PETS2009 Database
* 2010: Reflection Removal in Color Videos
* 2011: Graph-Kernel Method for Re-identification, A
* 2011: Mitotic HEp-2 Cells Recognition under Class Skew
* 2011: Multi-View Appearance Model for people re-identification, A
* 2011: People Re-identification by Graph Kernels Methods
* 2011: Reflection Removal for People Detection in Video Surveillance Applications
* 2012: Combining Neural Networks and Fuzzy Systems for Human Behavior Understanding
* 2012: Ensemble of Rejecting Classifiers for Anomaly Detection of Audio Events, An
* 2012: Removing Object Reflections in Videos by Global Optimization
* 2013: Audio surveillance using a bag of aural words classifier
* 2013: Benchmarking HEp-2 Cells Classification Methods
* 2013: Counting moving persons in crowded scenes
* 2013: Performance Comparison of Five Exact Graph Matching Algorithms on Biological Databases
* 2013: real time algorithm for people tracking using contextual reasoning, A
* 2013: Real-time tracking of single people and groups simultaneously by contextual graph-based reasoning dealing complex occlusions
* 2013: Recognition of Human Actions from RGB-D Videos Using a Reject Option
* 2013: Tracking System with Re-identification Using a Graph Kernels Approach
* 2014: Cascade classifiers trained on gammatonegrams for reliably detecting audio events
* 2014: Exploiting the deep learning paradigm for recognizing human actions
* 2014: Pattern recognition in stained HEp-2 cells: Where are we now?
* 2014: Special issue on the analysis and recognition of indirect immuno-fluorescence images
* 2014: Tracking System with Re-identification Using a RGB String Kernel
* 2015: Automatic detection of long term parked cars
* 2015: Car crashes detection by audio analysis in crowded roads
* 2015: Human action recognition using an improved string edit distance
* 2015: Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion
* 2015: Reliable detection of audio events in highly noisy environments
* 2015: Report on the First Contest on Graph Matching Algorithms for Pattern Search in Biological Databases
* 2015: VF2 Plus: An Improved version of VF2 for Biological Graphs
* 2016: Audio Surveillance of Roads: A System for Detecting Anomalous Sounds
* 2016: Counting people by RGB or depth overhead cameras
* 2017: Graph edit distance as a quadratic assignment problem
* 2017: Introducing VF3: A New Algorithm for Subgraph Isomorphism
* 2018: Challenging the Time Complexity of Exact Subgraph Isomorphism for Huge and Dense Graphs with VF3
* 2018: Gender recognition from face images using trainable shape and color features
* 2018: Subgraph spotting in graph representations of comic book images
* 2018: VF3-Light Subgraph Isomorphism Algorithm: When Doing Less Is More Effective, The
* 2019: Detecting Sounds of Interest in Roads with Deep Networks
* 2019: VF3-Light: A lightweight subgraph isomorphism algorithm and its experimental evaluation
* 2020: Comparing performance of graph matching algorithms on huge graphs
* 2020: Special issue on Applications of graph-based techniques to pattern recognition
* 2020: Trends in graph-based representations for Pattern Recognition
* 2021: Two parallel versions of VF3: Performance analysis on a wide database of graphs
* 2022: Editorial paper for pattern recognition letters VSI on advances in graph-based recognition for pattern recognition
* 2023: Autonomous mobile robot for automatic out of stock detection in a supermarket
Includes: Foggia, P. Foggia, P.[Pasquale]
78 for Foggia, P.

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