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Integrating co-occurrence and spatial contexts on patch-based scene segmentation

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Integrating co-occurrence and spatial contexts on patch-based scene segmentation

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On the Convergence of EM-Like Algorithms for Image Segmentation using Markov Random Fields

OmniSIFT: Scale Invariant Features in Omnidirectional Images

Contextual classification of image patches with latent aspect models

A collaborative approach to image segmentation and behavior recognition from image sequences

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

A Thousand Words in a Scene

A Bayesian Switching Linear Dynamical System for Scale-Invariant robust speech extraction

Learning the structure of image collections with latent aspect models

Learning the structure of image collections with latent aspect models

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

A collaborative approach to image segmentation and behavior recognition from image sequences

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

OmniSIFT: Scale Invariant Features in Omnidirectional Images

On the Convergence of EM-Like Algorithms for Image Segmentation using Markov Random Fields

Contextual classification of image patches with latent aspect models

Learning the structure of image collections with latent aspect models

A Bayesian Switching Linear Dynamical System for Scale-Invariant robust speech extraction

Learning the structure of image collections with latent aspect models

A Thousand Words in a Scene