深層ニューラルネットワークによる病理診断支援のためのドメイン知識の段階的転移に関する研究

筑波大学 (University of Tsukuba)201

Patch Autocorrelation Features: A translation and rotation invariant approach for image classification.

The autocorrelation is often used in signal processing as a tool for finding repeating patterns in a signal. In image processing, there are various image analysis techniques that use the autocorrelation of an image in a broad range of applications from texture analysis to grain density estimation. This paper provides an extensive review of two recently introduced and related frameworks for image representation based on autocorrelation, namely Patch Autocorrelation Features (PAF) and Translation and Rotation Invariant Patch Autocorrelation Features (TRIPAF). The PAF approach stores a set of features obtained by comparing pairs of patches from an image. More precisely, each feature is the euclidean distance between a particular pair of patches. The proposed approach is successfully evaluated in a series of handwritten digit recognition experiments on the popular MNIST data set. However, the PAF approach has limited applications, because it is not invariant to affine transformations. More recently, the PAF approach was extended to become invariant to image transformations, including (but not limited to) translation and rotation changes. In the TRIPAF framework, several features are extracted from each image patch. Based on these features, a vector of similarity values is computed between each pair of patches. Then, the similarity vectors are clustered together such that the spatial offset between the patches of each pair is roughly the same. Finally, the mean and the standard deviation of each similarity value are computed for each group of similarity vectors. These statistics are concatenated to obtain the TRIPAF feature vector. The TRIPAF vector essentially records information about the repeating patterns within an image at various spatial offsets. After presenting the two approaches, several optical character recognition and texture classification experiments are conducted to evaluate the two approaches. Results are reported on the MNIST (98.93%), the Brodatz (96.51%), and the UIUCTex (98.31%) data sets. Both PAF and TRIPAF are fast to compute and produce compact representations in practice, while reaching accuracy levels similar to other state-of-the-art methods

Sistema de visión para conteo de paquetes deformables en una pila

En este trabajo se presenta un método novedoso de detección y conteo de paquetes de cabos de escoba mediante visión por computadora, en el que se aplica una estrategia de segmentado robusta ante la gran variabilidad de color, forma y posición de los paquetes. La detección y conteo de partes mediante cámaras es un tópico de mucho interés en la industria, entre otras razones por ser un sistema de medición libre de contacto. El principal inconveniente que presenta es la segmentación de la imagen para identificar las partes a contar, especialmente cuando poseen poca regularidad o el entorno es poco uniforme. El método propuesto aplica primero múltiples estrategias para la estimación inicial de las zonas de interés (paquetes), que luego se segmentan con una técnica de cortes de grafos. En este caso el segmentado se realiza utilizando el método llamado GrabCut, el cual requiere una estimación inicial de la zona a segmentar como frente o foreground y de la zona de fondo o background. Se describe también el sistema de visión propuesto y se muestran resultados reales del conteo. Finalmente, se analizan algunos casos problemáticos y se discuten posibles soluciones.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Sistema de visión para conteo de paquetes deformables en una pila

En este trabajo se presenta un método novedoso de detección y conteo de paquetes de cabos de escoba mediante visión por computadora, en el que se aplica una estrategia de segmentado robusta ante la gran variabilidad de color, forma y posición de los paquetes. La detección y conteo de partes mediante cámaras es un tópico de mucho interés en la industria, entre otras razones por ser un sistema de medición libre de contacto. El principal inconveniente que presenta es la segmentación de la imagen para identificar las partes a contar, especialmente cuando poseen poca regularidad o el entorno es poco uniforme. El método propuesto aplica primero múltiples estrategias para la estimación inicial de las zonas de interés (paquetes), que luego se segmentan con una técnica de cortes de grafos. En este caso el segmentado se realiza utilizando el método llamado GrabCut, el cual requiere una estimación inicial de la zona a segmentar como frente o foreground y de la zona de fondo o background. Se describe también el sistema de visión propuesto y se muestran resultados reales del conteo. Finalmente, se analizan algunos casos problemáticos y se discuten posibles soluciones.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Metabolism of primary astrocytes studied by NMR: metabolic trafficking and neuroprotection

Dissertation presented to obtain a Ph. D. degree in Biochemistry by Universidade Nova de Lisboa, Instituto de Tecnologia Química e Biológica.The human brain is the product of 600 million years of evolution and it is by far the most complex structure in the known universe. The vertebrates’ brain is composed of several different cell types, which perform the different functions required. The two most abundant cell types are neurons, which are the brain function unit, and glial cells, which are responsible for a myriad of housekeeping, homeostatic and structural functions. Glial metabolism is so far interconnected with the neuronal metabolism, that it is difficult to state where one finishes and the other starts. Trafficking between the two compartments include metabolites of almost all metabolic pathways (glycolysis, TCA, amino acids, ketone bodies, etc) and also ions.(...)Fundação para a Ciência e a Tecnologia – PRAXIS XXI, for the financial support that made this doctoral work possible (PRAXIS XXI/BD/21532/99)

Daily Eastern News: February 07, 1933

https://thekeep.eiu.edu/den_1933_feb/1000/thumbnail.jp

Searching for New Physics using Classical and Quantum Machine Learning

The development of machine learning (ML) has provided the High Energy Physics (HEP) community with new methods of analysing collider and Monte-Carlo generated data. As experiments are upgraded to generate an increasing number of events, classical techniques can be supplemented with ML to increase our ability to find signs of New Physics in the high-dimensional event data. This thesis presents three methods of performing supervised and unsupervised searches using novel ML methods. The first depends on the use of an autoencoder to perform an unsupervised anomaly detection search. We demonstrate that this method allows you to carry out a data-driven, model-independent search for New Physics. Furthermore, we show that by extending the model with an adversary we can account for systematic errors that may arise from experiments. The second method develops a form of quantum machine learning to be applied to a supervised search. Using a variational quantum classifier (a neural network style model built from quantum information principles) we demonstrate a quantum advantage arises when compared to a classical network. Finally, we make use of the continuous-variable (CV) paradigm of quantum computing to build an unsupervised method of classifying events stored as graph data. Gaussian boson sampling provides an example of a quantum advantage unique to the CV method of quantum computing and allows our events to be used in an anomaly detector model built using the Q-means clustering algorithm

Study of the electrical system of a commercial aircraft: development of a numerical simulation model

The need of electric power on aircraft has been growing from few VA of the engine ignition system of early aircraft such as the Wright flyer to almost 1 MVA for large long range commercial aircraft as for example the B747 or the A380. As aircraft is becoming more electric, the electric power system becomes increasingly critical. For this project I managed to study and develop a simulation model of the electrical system of a commercial aircraft, exactly based on the Airbus A320, to be used in electrical engineering and aerospace engineering courses in the near future

PICES-GLOBEC International Program On Climate Change And Carrying Capacity: Report of the 2000 BASS, MODEL, MONITOR and REX workshops, and the 2001 BASS/MODEL workshop

Table of Contents [pdf, 0.07 Mb] Executive Summary [pdf, 0.05 Mb] Report of the 2000 BASS Workshop on The Development of a conceptual model of the Subarctic Pacific basin ecosystems [pdf, 0.71 Mb] Report of the 2000 MODEL Workshop on Strategies for coupling higher and lower trophic level marine ecosystem models [pdf, 3.62 Mb] Report of the 2000 MONITOR Workshop on Progress in monitoring the North Pacific [pdf, 1.21 Mb] Report of the 2000 REX Workshop on Trends in herring populations and trophodynamics [pdf, 4.22 Mb] Report of the 2001 BASS/MODEL Workshop on Higher trophic level modeling [pdf, 0.29 Mb] (Document pdf contains 119 pages