Tracking Solar Events through Iterative Refinement

Fingerprint Orientation Refinement through Iterative Smoothing

We propose a new gradient-based method for the extraction of the orientation field associated to a fingerprint, and a regularisation procedure to improve the orientation field computed from noisy fingerprint images. The regularisation algorithm is based on three new integral operators, introduced and discussed in this paper. A pre-processing technique is also proposed to achieve better performa...

Iterative Adaptive Solar Tracking Having Variable Step Size

Improving liquid state machines through iterative refinement of the reservoir

Liquid State Machines (LSMs) exploit the power of recurrent spiking neural networks (SNNs) without training the SNN. Instead, LSMs randomly generate this network and then use it as a filter for a generic machine learner. Previous research has shown that LSMs can yield competitive results; however, the process can require numerous time consuming epochs before finding a viable filter. We have dev...

Progressive messages : tracking message progress through events

This thesis introduces the Progressive Messages model of communication. It is an event-driven framework for building scalable parallel and distributed computing applications on modern networks. In particular, the paradigm provides notification of message termination. That is, when a message succeeds or fails, the user’s application can capture an event (often through a callback) and perform a d...

Iterative Treebank Refinement

Treebanks are a valuable resource for the training of parsers that perform automatic annotation of unseen data. It has been shown that changes in the representation of linguistic annotation have an impact on the performance of a certain annotation task. We focus on the task of Topological Field Parsing for German using Probabilistic Context-Free Grammars in the present research. We investigate ...