Questions and Answers (41) View all
-
Answer added in Discrete Event Systems3 Do you agree with that Artificial Neural Networks are able to approximate discrete functions?By MengChang Wang · Huazhong University of Science and TechnologyAlireza Nejati · University of AucklandThe Cybenko theorem clearly states that ANNs have the ability to learn any function, including discrete ones. Whether ANNs are the most efficient way... [more]The Cybenko theorem clearly states that ANNs have the ability to learn any function, including discrete ones. Whether ANNs are the most efficient way of doing this is a different matter entirely.Following
-
Answer added in Pattern Recognition1 What's the difference between sparse representation, sparse coding and sparse auto encoder?By Fuqiang Chen · Tongji UniversityAlireza Nejati · University of AucklandSparse coding: representation of a signal family in terms of a code that usually ends up zero or close to zero in most of its elements. Sparse repres... [more]Sparse coding: representation of a signal family in terms of a code that usually ends up zero or close to zero in most of its elements. Sparse representation: the representation of a single element of this family in terms of the sparse code. Sparse auto-encoder: a unsupervised machine learning algorithm that 'learns' a sparse code for a signal family.Following
-
Answer added in Machine Learning18 Problem with backpropagation.Alireza Nejati · University of AucklandI think you need to provide some more information i.e. the ANN software you're using (is it the matlab toolbox?) and how you're training your net. Als... [more]I think you need to provide some more information i.e. the ANN software you're using (is it the matlab toolbox?) and how you're training your net. Also, what training algorithm you're using (LM, GDM, etc.)Following
-
Answer added in Control Theory6 There is a relationship between knot theory and control theory or dynamic systems?By Jessica Mendiola · Instituto Potosino de Investigación Científica y TecnológicaAlireza Nejati · University of AucklandAre you referring to the fact that periodic orbits of certain dynamical systems can be considered as being knots?Are you referring to the fact that periodic orbits of certain dynamical systems can be considered as being knots?Following
-
Answer added in Pattern Recognition4 How can mathematically prove that increasing entropy lead to decreasing over fitting?By Arian Mosallanezhad · Khaje Nasir Toosi University of TechnologyAlireza Nejati · University of AucklandLook at the Bayesian information criterion (BIC): http://en.wikipedia.org/wiki/Bayesian_information_criterionLook at the Bayesian information criterion (BIC): http://en.wikipedia.org/wiki/Bayesian_information_criterionFollowing
Publications (3) View all
-
Article: Improving active contour methods for tracking endothelial cells by the removal of low-confidence edge segments.
Alireza Nejati, Charles P Unsworth, Euan S Graham[show abstract] [hide abstract]
ABSTRACT: Previously we developed an active contour method for segmenting and tracking cells in phase-contrast microscopy images. Our method is capable of fine-grained segmentation on noisy image sequences. In this paper, we improve the active contour segmentation model to provide better accuracy, by selectively identifying areas of the contour with low confidence and removing them. The method is applied to HMEC-1 cells (human microvascular endothelial cells). The segmentation provided by the method is quantitavely compared with manually-drawn contours, showing close fit and capability to 'lock' on to cell boundaries for hundreds of frames.Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 08/2012; 2012:5368-71. -
SourceAvailable from: Alireza Nejati
Article: Letter to the Editor
Alireza Nejati, Charles P Unsworth, Euan S GrahamAIChE Journal 01/2012; 58(12):3930-3930. · 2.26 Impact Factor -
Article: 3-D Modeling of nitric oxide emission and vasodilation induced by CA3 hippocampal neurons.
Alireza Nejati, Charles P Unsworth[show abstract] [hide abstract]
ABSTRACT: The modeling of the spread, diffusion, and decay of chemicals in the brain is a complex problem that is made difficult by the fact that the structures that produce chemicals (synapses etc.) may be very small in comparison to their radii of chemical influence. In this article, we concentrate on modeling a simple instance of this problem; that of a proficiently diffusing molecule that may cause changes in smooth muscle contractions over relatively large areas. An optimized diffusion system was developed to study the diffusion of neuronal nitric oxide. Our diffusion system allows us to model the spread of nitric oxide from all areas of neurons, including the soma and dendritic processes. In addition, our system allows us to model tiny diffusing structures without sacrificing large-scale granularity. To study the effect of NO-producing neurons on vasodilation, we simulate systems of 1 and 2 neurons. We show that it is possible for nitric oxide emitted from neurons to be involved in regulating blood flow.Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 08/2011; 2011:708-11.