Essays about: "computer science - algorithm for data"
Showing result 1 - 5 of 34 essays containing the words computer science - algorithm for data.
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1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
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2. Predicting Airbnb Prices in European Cities Using Machine Learning
University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaperAbstract : Background: Machine learning is a field of computer science that focuses on creating models that can predict patterns and relations among data. In this thesis, we use machine learning to predict Airbnb prices in various European cities to help the hosts in setting reasonable prices for their properties. READ MORE
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3. Comparison in Barcode and Computing Time for Persistent Homology Applied to a Subset of a Point Cloud
University essay fromAbstract : At the intersection of topology and computer science lies the field of topological data analysis(TDA). TDA uses the concept of persistence to identify low dimensional topological features of data embedded in high dimensions. READ MORE
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4. A Comparative Study on Optimization Algorithms and its efficiency
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: In computer science, optimization can be defined as finding the most cost-effective or notable achievable performance under certain circumstances, maximizing desired factors, and minimizing undesirable results. Many problems in the real world are continuous, and it isn't easy to find global solutions. READ MORE
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5. Designing an algorithm to build communities by combining semi-cliques spanning multiple graphs
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Community detection is an important graph mining task and one of the most researched problems in its field of study. One reason for this is its applicability in a variety of disciplines ranging from biology to computer science. READ MORE