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Montserrat Alvarado-González

Montserrat Alvarado-González
Metropolitan Autonomous University - Cuajimalpa · Department of Applied Mathematics and Systems

PhD

About

13
Publications
1,433
Reads
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69
Citations
Additional affiliations
January 2017 - present
Metropolitan Autonomous University - Cuajimalpa
Position
  • Professor (Associate)
November 2007 - July 2012
Universidad Nacional Autónoma de México
Position
  • Academic Technician

Publications

Publications (13)
Article
Over the past decade convolutional neural networks (CNNs) have become the driving force of an ever-increasing set of applications, achieving state-of-the-art performance. Modern CNN architectures are often composed of many convolutional and some fully connected layers, and have thousands or millions of parameters. CNNs have shown to be effective in...
Article
We present a new approach based on the Slope Chain Code to determine whether a curve is rotational symmetrical and its order of symmetry. The proposed approach works for open and closed perfectly symmetrical or quasi-symmetrical 2D curves. Simple operations on the SCC and its invariant properties are central to our methodology. To evaluate the prop...
Preprint
In this paper, we aim to provide elements to contribute to the discussion about the usefulness of deep CNNs with several filters to solve both within-subject and cross-subject classification for single-trial P300 detection. To that end, we present SepConv1D, a simple Convolutional Neural Network architecture consisting of a depthwise separable 1D c...
Article
Symmetry is an important feature in natural and man-made objects; particularly, mirror symmetry is a relevant task in fields such as computer vision and pattern recognition. In the current work, we propose a new method to characterize mirror-symmetry in open and closed curves represented by means of the Slope Chain Code. This representation is inva...
Thesis
We present an approach to describe a P300 by a shape-based feature vector, whose elements are, among others, a chain generated by a code we propose. Such a vector offers several advantages over the reference-based feature vector. Additionally, we present a calibration algorithm that reduces the number of trials, the electrodes needed by a Brain Com...
Article
Full-text available
We present a novel approach to describe a P300 by a shape-feature vector, which offers several advantages over the feature vector used by the BCI2000 system. Additionally, we present a calibration algorithm that reduces the dimensionality of the shape-feature vector, the number of trials, and the electrodes needed by a Brain Computer Interface to a...
Research
Para poder recuperar la rotación instantánea del observador y la dirección de translación mientras se mueve a través del ambiente (movimiento propio), se aplicó la estimación mediante la percepción del entorno. Una de sus etapas es la correspondencia entre puntos. Si ésta no es solucionada adecuadamente, la estimación no será precisa. Por este moti...
Article
Full-text available
In this paper an interaction-oriented cognitive ar- chitecture for the specification and construction of situated systems and service robots is presented. The architecture is centered on an interaction mod- el, called dialogue model, with its corresponding program interpreter or Dialogue Manager. A dia- logue model represents the task structure of...
Article
In this paper we report our preliminary results of the development of a computer assisted system for breast biopsy. The system is based on tracked ultrasound images of the breast. A three dimensional ultrasound volume is constructed from a set of tracked B-scan images acquired with a calibrated probe. The system has been designed to assist a radiol...
Chapter
A promising method to segment retinal images is presented that combines previous work on multi-scale feature extraction together with fuzzy segmentation and image homogenization. Our results are encouraging because they have less computational cost for the region growing process than that for the multi-scale feature extraction method. KeywordsReti...
Conference Paper
Full-text available
In this paper, we present the development of a tour–guide robot that conducts a poster session through spoken Spanish. The robot is able to navigate around its environment, visually identify informa-tional posters, and explain sections of the posters that users request via pointing gestures. We specify the task by means of dialogue models. A dialog...
Conference Paper
A robot localization scheme is presented in which a mobile robot finds its position within a known environment through image comparison. The images being compared are those taken by the robot throughout its reconnaissance trip and those stored in an image database that contains views taken from strategic positions within the environment, and that a...

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