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Papers (including subtopics)

Multi-criteria Anomaly Detection using Pareto Depth Analysis NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Natural Images, Gaussian Mixtures and Dead Leaves NeurIPS 2012 Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012 Non-Sparse Multiple Kernel Fisher Discriminant Analysis JMLR 2012 On the connections between saliency and tracking NeurIPS 2012 Part & Clamp: Efficient Structured Output Learning AISTATS 2012 Practical Large Scale Classification with Additive Kernels ACML 2012 Recognizing Activities by Attribute Dynamics NeurIPS 2012 Searching for objects driven by context NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 Shifting Weights: Adapting Object Detectors from Image to Video NeurIPS 2012 Spatial Locality-Aware Sparse Coding and Dictionary Learning ACML 2012 Timely Object Recognition NeurIPS 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Unsupervised Template Learning for Fine-Grained Object Recognition NeurIPS 2012 Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NeurIPS 2012 Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination NeurIPS 2012 What's in the Bag: A Distributed Approach to 3D Shape Duplication with Modular Robots RSS 2012 θ-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding NeurIPS 2011 Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011 A Convergence Analysis of Log-Linear Training NeurIPS 2011 An ideal observer model for identifying the reference frame of objects NeurIPS 2011 A Spike and Slab Restricted Boltzmann Machine AISTATS 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011