Essays about: "Sparse depth"
Showing result 1 - 5 of 27 essays containing the words Sparse depth.
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1. MmWave Radar-based Deep Learning Collision Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. READ MORE
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2. A Multi-Level Extension of the Hierarchical PCA Framework with Applications to Portfolio Construction with Futures Contracts
University essay from KTH/Matematisk statistikAbstract : With an increasingly globalised market and growing asset universe, estimating the market covariance matrix becomes even more challenging. In recent years, there has been an extensive development of methods aimed at mitigating these issues. READ MORE
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3. Individual Layer Scaling and Redundancy Reduction of Singleshot Multiplane Images for View Synthesis
University essay from Lunds universitet/Matematik LTHAbstract : Image-based rendering for view synthesis is a field within computer vision that has seen a growing number of research activity within the past few years, much due to deep learning techniques emerging, allowing researchers to re-format view synthesis as a learning problem. The multiplane image (MPI) is a recently proposed learning-based layered 3D representation, created from one or a few input images for the purpose of rendering novel views. READ MORE
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4. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. READ MORE
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5. Translating science in consultancy practice: a study of communication practitioners
University essay from Lunds universitet/Institutionen för strategisk kommunikationAbstract : Studies conducted within the field of Strategic Communication have often had communication practitioners working within organizations as the object of investigation. Communication consultants, however, is a professional role within Strategic Communication that needs further investigation. READ MORE