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646
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3104
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Distinctive Image Features from Scale-Invariant Keypoints
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Video google: A text retrieval approach to object matching in videos
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670
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An affine invariant interest point detector
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189
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Combined Object Categorization and Segmentation With An Implicit Shape Model
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111
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Creating efficient codebooks for visual recognition
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106
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Weak hypotheses and boosting for generic object detection and recognition
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222
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Unsupervised learning of models for recognition
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203
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Learning to detect objects in images via a sparse, part-based representation
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321
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A bayesian hierarchical model for learning natural scene categories
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92
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Selection of scale-invariant parts for object class recognition
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154
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Learning object categories from google’s image search
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222
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Representing and recognizing the visual appearance of materials using three-dimensional textons
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809
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Histograms of Oriented Gradients for Human Detection
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304
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Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories
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136
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A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
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63
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A Visual Category Filter for Google Images
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51
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Scale-invariant shape features for recognition of object categories
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1369
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Latent dirichlet allocation
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