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These are the Lecture Slides of Introduction to Computer Version which includes Machine Learning, Framework, Prediction Function, Feature Representation, Image, Desired Output, Prediction Function, Prediction Error, Predicted Value etc. Key important points are: Context and Spatial Layout, Context In Recognition, Surrounded, Provide Context, Scene Category, Surfaces, Context Provides, Function, Component of Recognition, Context
Typology: Lecture notes
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Sometimes context is the major
component of recognition
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