Scene Classification Using a Hybrid Generative/Discriminative Approach

We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail, we are given a set of labeled images of scenes (for example, coast, forest, city, river, etc.), and our objective is to classify a new image into one of these categories. Our approach consists of first discovering latent ";topics"; using probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature here applied to a bag of visual words representation for each image, and subsequently, training a multiway classifier on the topic distribution vector for each image. We compare this approach to that of representing each image by a bag of visual words vector directly and training a multiway classifier on these vectors. To this end, we introduce a novel vocabulary using dense color SIFT descriptors and then investigate the classification performance under changes in the size of the visual vocabulary, the number of latent topics learned, and the type of discriminative classifier used (k-nearest neighbor or SVM). We achieve superior classification performance to recent publications that have used a bag of visual word representation, in all cases, using the authors' own data sets and testing protocols. We also investigate the gain in adding spatial information. We show applications to image retrieval with relevance feedback and to scene classification in videos

Classification of textures seen from different distances and under varying illumination direction

Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a Nearest Neighbour classifier. Moreover, the recognition allows one to guess the approximate direction of the illumination used to capture the test image

Pose-based SLAM with probabilistic scan matching algorithm using a mechanical scanned imaging sonar

This paper proposes a pose-based algorithm to solve the full SLAM problem for an autonomous underwater vehicle (AUV), navigating in an unknown and possibly unstructured environment. The technique incorporate probabilistic scan matching with range scans gathered from a mechanical scanning imaging sonar (MSIS) and the robot dead-reckoning displacements estimated from a Doppler velocity log (DVL) and a motion reference unit (MRU). The proposed method utilizes two extended Kalman filters (EKF). The first, estimates the local path travelled by the robot while grabbing the scan as well as its uncertainty and provides position estimates for correcting the distortions that the vehicle motion produces in the acoustic images. The second is an augment state EKF that estimates and keeps the registered scans poses. The raw data from the sensors are processed and fused in-line. No priory structural information or initial pose are considered. The algorithm has been tested on an AUV guided along a 600 m path within a marina environment, showing the viability of the proposed approach

A Novel Breast Tissue Density Classification Methodology

It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastically reduces detection sensitivity. In addition, breast tissue density is widely accepted to be an important risk indicator for the development of breast cancer. Here, we describe the development of an automatic breast tissue classification methodology, which can be summarized in a number of distinct steps: 1) the segmentation of the breast area into fatty versus dense mammographic tissue; 2) the extraction of morphological and texture features from the segmented breast areas; and 3) the use of a Bayesian combination of a number of classifiers. The evaluation, based on a large number of cases from two different mammographic data sets, shows a strong correlation ( and 0.67 for the two data sets) between automatic and expert-based Breast Imaging Reporting and Data System mammographic density assessment

Automatic classification of breast density

A recent trend in digital mammography is computer-aided diagnosis systems, which are computerised tools designed to assist radiologists. Most of these systems are used for the automatic detection of abnormalities. However, recent studies have shown that their sensitivity is significantly decreased as the density of the breast increases. This dependence is method specific. In this paper we propose a new approach to the classification of mammographic images according to their breast parenchymal density. Our classification uses information extracted from segmentation results and is based on the underlying breast tissue texture. Classification performance was based on a large set of digitised mammograms. Evaluation involves different classifiers and uses a leave-one-out methodology. Results demonstrate the feasibility of estimating breast density using image processing and analysis techniques

A new approach to the classification of mammographic masses and normal breast tissue

A new approach to mammographic mass detection is presented in this paper. Although different algorithms have been proposed for such a task, most of them are application dependent. In contrast, our approach makes use of a kindred topic in computer vision adapted to our particular problem. In this sense, we translate the eigenfaces approach for face detection/classification problems to a mass detection. Two different databases were used to show the robustness of the approach. The first one consisted on a set of 160 regions of interest (RoIs) extracted from the MIAS database, being 40 of them with confirmed masses and the rest normal tissue. The second set of RoIs was extracted from the DDSM database, and contained 196 RoIs containing masses and 392 with normal, but suspicious regions. Initial results demonstrate the feasibility of using such approach with performances comparable to other algorithms, with the advantage of being a more general, simple and cost-effective approach

Strategies of psychological terrorism perpetrated by ETA's network : Delimitation and classification

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Classification of sags according to their origin based on the waveform similarity

A statistical method for classification of sags their origin downstream or upstream from the recording point is proposed in this work. The goal is to obtain a statistical model using the sag waveforms useful to characterise one type of sags and to discriminate them from the other type. This model is built on the basis of multi-way principal component analysis an later used to project the available registers in a new space with lower dimension. Thus, a case base of diagnosed sags is built in the projection space. Finally classification is done by comparing new sags against the existing in the case base. Similarity is defined in the projection space using a combination of distances to recover the nearest neighbours to the new sag. Finally the method assigns the origin of the new sag according to the origin of their neighbours

Laser classification (NPL)

Short video on laser classification produced by the National Physical Laboratory

Tratamiento quirúrgico de las fracturas intertrocantéricas del fémur con placa tornillo dinámico convencional comparado con tornillo dinámico helicoidal

Introducción: Las fracturas intertrocantéricas han llegado a nuestros días con una mayor incidencia dado el envejecimiento de la población, con fracturas más complejas, menos estables y asociadas a osteoporosis, se estima que representan aproximadamente 1,75 millones de años de vida perdidos ajustados a discapacidad es decir 0,1% de la carga de morbilidad a nivel mundial. Existe consenso en el tratamiento quirúrgico de este tipo de fracturas, presentando una incidencia variable de fallos, principalmente cuando son inestables, entre estos el denominado “cuto ut”. La utilización de un método de fijación con placa y tornillo helicoidal (DHHS) aparentemente disminuye la incidencia de dichos fallos con respecto a otras técnicas. Metodología: Por medio de una muestra calculada en 128 de pacientes con fracturas intertrocantéricas operados con DHS y DHHS entre el 2007 y el 2012 en La Clínica San Rafael de la ciudad de Bogotá, Colombia, se realizó un análisis multivariado para determinar si existe o no diferencias significativas en los índices de fallo entre estas dos técnicas. Resultados: Los pacientes incluidos en el estudio 54 (42,1%) fueron hombres y 74 (57,8%) fueron mujeres. 75 fueron operados con DHHS y 53 con DHS; en cuanto a las comorbilidades las principales fueron Hipertensión con 40 pacientes para DHS y 30 para DHHS, para el caso de Diabetes Mellitus fueron 13 y 9 para DHS y DHHS, respectivamente; en cuanto al tipo de fractura más común la principal fue la clasificación Tronzo II con 9 pacientes para DHS y 13 para DHHS. Conclusión. Para el estudios se evidencia que para los 3 desenlaces principales evaluados, 1. El porcentaje de re intervención (p=0,282), 2. La supervivencia en el primer año (p=0,499) y 3. El desempeño funcional con la escala de Oxford (p=0,06); no hubo diferencias estadísticamente significativas entre los grupos.

Regarding the classification of a partner or shareholder as a dependant employee

This article analyzes the juridical controversy related to whether a person that providesservices to a company in which is partner, can be qualified or considered as adependent employee of it. In order to accomplish that purpose, the article providesa critical study of the doctrine of the Chilean Department of Labor (Dirección deTrabajo) in contrast to the jurisprudence of the Chilean courts of justice. From there,the author develops criteria that can serve as guidance towards the resolution of disputesof this nature. To this end, an interdisciplinary study is done, which combinesboth the essential elements of the contract of employment, mainly the element ofalienation, with the characteristics of each type of company.

Factores asociados a complicaciones post quirúrgicas en pacientes adultos con obstrucción intestinal mecánica en Bogotá, Colombia, período 2008 - 2014

Introducción: La obstrucción intestinal es una patología de alta prevalencia e impacto en los servicios de cirugía general a nivel mundial. El manejo de esta entidad puede ser médico o quirúrgico. Cuando se requiere intervención quirúrgica, se busca evitar el desarrollo de isquemia intestinal y resecciones intestinales; durante el postoperatorio, pueden existir complicaciones. El objetivo de este estudio es identificar los factores asociados al desarrollo de complicaciones post operatorias en un grupo de pacientes con obstrucción intestinal mecánica llevados a manejo quirúrgico. Metodología: Estudio analítico tipo casos y controles en un grupo de pacientes con diagnóstico de obstrucción intestinal mecánica llevados a manejo quirúrgico de su patología. Los casos corresponden a los pacientes con complicaciones postoperatorias y los controles aquellos que no presentaron complicaciones. Se identificaron factores asociados a complicación post operatoria mediante modelos estadísticos bivariados y multivariados de regresión logística para factores como edad, sexo, antecedente quirúrgico, presentación clínica, paraclínica y diagnóstico postoperatorio de malignidad, entre otras. Resultados: Se identificaron un total de 138 pacientes (54 casos y 129 controles). Los rangos de edad entre 55-66 años y mayor de 66 años fueron asociados con complicaciones postoperatorias (OR 3,87 IC95% 1,58-9,50 y OR 3,62 IC95% 1,45-9,08 respectivamente). El déficit de base inferior a 5 mEq/litro se relaciona con complicaciones postoperatorias (OR 2,64 IC95% 1.33-5,25) Otras pruebas de laboratorio, características radiológicas, hallazgos de malignidad en el postoperatorio y la evolución de los pacientes no fueron asociados con complicaciones. Conclusiones: Las disminución de las complicaciones durante el manejo quirúrgico de obstrucción intestinal mecánica continúa siendo un reto para la cirugía general. Factores no modificables como edad avanzada y modificables como el equilibrio ácido base deben ser tenidos en cuenta dada su correlación en el desarrollo de complicaciones postoperatorias.

Revision sistemática: Factores asociados a colonización e infección por bacterias gram negativas resistentes a carbapenemicos

INTRODUCCIÓN: Los carbapenémicos (CP) son una de las últimas líneas de tratamiento para infecciones por microorganismos multirresistentes (MDR), especialmente Gram-negativos productores de betalactamasas de espectro extendido. Es creciente la preocupación a nivel mundial por el aumento de aislamientos resistentes a CP, en EEUU hasta 60% de las infecciones nosocomiales son causadas por bacterias MDR. En la Unión Europea, cerca de 25.000 pacientes mueren anualmente por esta causa. En Latinoamérica hay una tendencia creciente en las tasas de resistencia.OBJETIVO: Identificar y describir factores protectores o de riesgo, relacionados con colonización o infección por Gram negativos resistentes a CP en pacientes adultos hospitalizados, mediante una revisión sistemática de la literatura.MÉTODOS: Revisión sistemática de literatura, búsqueda de estudios observacionales analíticos en las bases de datos PubMed, Embase, Scopus, BVS, Scielo y búsqueda de literatura gris, publicados desde el 01/01/2004 al 15/04/2015. Se evalúo la calidad de los estudios con escala Newcastle-Ottawa y FLC Osteba. RESULTADOS: Se seleccionaron 36 estudios de alta calidad, diseño de casos y controles. Los factores de riesgo estadísticamente significativos observados son estancia en UCI OR:36.46, insuficiencia renal aguda OR:6.23, diálisis OR:10.80 ventilación mecánica OR:17.5, cateterismo vesical OR:14.3, uso de carbapenémicos OR:18,52,quinolonas OR17.30, cefepime OR:28.05, glicopéptidos OR:19.1; metronidazol OR:4.17, p:0.03, colistina OR:12.1, linezolid OR:7 CONCLUSIÓN: Pese a que hay alta heterogeneidad en las variables incluidas en los estudios, se encontró que los factores de riesgo principales para adquirir GNR-CP en pacientes hospitalizados son: antecedente de insuficiencia renal aguda y diálisis, ventilación mecánica, cateterismo vesical, estancia en UCI y uso previo de antibióticos carbapenémicos, quinolonas, cefepime, glicopéptidos, metronidazol, linezolid y colistina. No se hallaron factores protectores. factores de riesgo

Mechanical engineering. BTEC National engineering specialist units.

Este libro de texto explica las seis unidades especializadas más frecuentes de ingeniería mecánica, ingeniería industrial y operaciones e ingeniería de mantenimiento del nuevo programa nacional de estudios BTEC National Certificate and Diploma de 2010. Contiene, además, dos nuevos capítulos descargables desde la web: Principios y aplicaciones de la mecánica de fluidos y Principios y aplicaciones de la termodinámica.

Distortions and gender-related differences in the perception of mechanical engineering in high school students

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