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• Machine Learning: Feature Learning and Deep Learning, Dictionary Learning and Sparse Coding, Hierarchical Matching Pursuit, Big Data Systems, Support Vector Machines and Kernel Methods, Structured Prediction, Graphical Models

• Computer Vision and Robotics: Recognition and Detection, RGB-D Vision, RGB-D Kernel Descriptors, Integrating Language and Vision, Scene Understanding, Human Pose Estimation