Object class recognition by unsupervised scale-invariant learning

Keywords

Artificial intelligence, Pattern recognition (psychology), Cognitive neuroscience of visual object recognition, Computer science, Expectation–maximization algorithm

References

• A Computational Model for Visual SelectionGiorgio Rebuffa — 1999
• Perceptual organization and visual recognitionD. Lowe — 2012
• Saliency, Scale and Image DescriptionTimor Kadir, Michael Brady — 2001
• Unsupervised learning of models for object recognitionMarkus Weber — 2000
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• Indexing based on scale invariant interest pointsKrystian Mikolajczyk, C. Schmid — 2001
• Constructing models for content-based image retrievalC. Schmid — 2001
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• Example-Based Learning for View-Based Human Face DetectionKah Kay Sung, Tomaso Poggio — 1998
• Rapid object detection using a boosted cascade of simple featuresPaul Viola, Michael Jones — 2001
• Towards automatic discovery of object categoriesMarkus Weber, Max Welling, Pietro Perona — 2000
• Neural network-based face detectionHenry A. Rowley, Shumeet Baluja, Takeo Kanade — 1996
• Class-Specific, Top-Down SegmentationEran Borenstein, S. Ullman — 2002
• Maximum Likelihood from Incomplete Data via the EM AlgorithmDempster, Arthur P., Laird, Nan M., Rubin, Donald B. — 1977
• A Probabilistic Approach to Object Recognition Using Local Photometry and Global GeometryM. Burl, M. Weber, P. Perona — 1998
• Learning a Sparse Representation for Object DetectionS. Agarwal, Dan Roth — 2002

Cited by

• Edge cross-section profile for colonoscopic object detectionYi Wang — 2012
• Labeling hypergraph-structured data using markov networkA. Elgammal, T. Parag — 2011
• Flexible Spatial Configuration of Local Image FeaturesKonstantinos Mantas — 2007
• A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video CompressionEva M. Fritz, Annemaree Carroll — 2010
• Discriminative techniques for the recognition of complex-shaped objectsOwen Carmichael, Martial Hebert — 2003
• Hybrid human-machine vision systems: image annotation using crowds, experts and machinesPietro Perona, Peter Welinder — 2012
• Visual Typo Correction by Collocative Optimization: A Case Study on Merchandize ImagesPaul De Knop, Marc Theeboom, Agnès Elling — 2014
• Incorporating Boltzmann Machine Priors for Semantic Labeling in Images and VideosAndrew Kae — 2014
• Probabilistic, features-based object recognitionPierre Moreels — 2008
• Image Representations for Ranking and Classification. (Représentations d'images pour la recherche et la classification d'images)Josip Krapac — 2011
• Facial pose estimation for image retrievalAndreas Savakis, James Schimmel — 2007
• Segmentation Based Structure MatchingHongzhi Wang, J. Oliensis — 2007
• Evaluating Appearance Models for Recognition, Reacquisition, and TrackingDouglas A. Gray, Shane Brennan, Tao Hai — 2007
• Reconnaissance de catégories d'objets et d'instances d'objets à l'aide de représentations locales. (Local Feature Based Object Categories and Object Instances Recognition)Éric Nowak — 2008
• On-board three-dimensional object tracking: Software and hardware solutionsAjay Kumar Mandava — 2009
• Scene Segmentation and Object Classification for Place RecognitionCheng Chang — 2010
• Adaptive active visionGuido de Croon — 2002
• Building and Using Knowledge Models for Semantic Image AnnotationHichem Bannour, AIGUIER, Marc — 2013
• Learning Random Attributed Relational Graph for Part-based Object DetectionDongqing Zhang, Shih‐Fu Chang — 2005
• Effective classifiers for detecting objectsMichael Mayo — 2007

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