Sökning: "Interactive neural networks"
Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Interactive neural networks.
1. Exploring Biologically-Inspired Interactive Networks for Object Recognition
Sammanfattning : This thesis deals with biologically-inspired interactive neural networks for the task of object recognition. Such networks offer an interesting alternative approach to traditional image processing techniques. Although the networks are very powerful classification tools, they are difficult to handle due to their bidirectional interactivity. LÄS MER
2. Biologically-Based Interactive Neural Network Models for Visual Attention and Object Recognition
Sammanfattning : The main focus of this thesis is to develop biologically-based computational models for object recognition. A series of models for attention and object recognition were developed in the order of increasing functionality and complexity. LÄS MER
3. Efficient Document Image Binarization using Heterogeneous Computing and Interactive Machine Learning
Sammanfattning : Large collections of historical document images have been collected by companies and government institutions for decades. More recently, these collections have been made available to a larger public via the Internet. However, to make accessing them truly useful, the contained images need to be made readable and searchable. LÄS MER
4. Improvisation, Computers, and Interaction : Rethinking Human-Computer Interaction Through Music
Sammanfattning : Interaction is an integral part of all music. Interaction is part of listening, of playing, of composing and even of thinking about music. LÄS MER
5. Exploration of large molecular datasets using global gene networks : computational methods and tools
Sammanfattning : Defining gene expression profiles and mapping complex interactions between molecular regulators and proteins is a key for understanding biological processes and the functional properties of cells, which is therefore, the focus on numerous experimental studies. Small-scale biochemical analyses deliver high-quality data, but lack coverage, whereas high throughput sequencing reveals thousands of interactions which can be error-prone and require proper computational methods to discover true relations. LÄS MER