Pattern recognition and classification
TítuloAuthentication of tequilas using pattern recognition and supervised classification
... visually and, so, unsupervised pattern recognition methods offer their excellent ability to compress information and unravel ...fully and, many times, there was a lack of chemical ...
26
Common Visual Pattern Recognition Using Hierarchical Clustering Methods with Asymmetric Networks
... noise and some predefined rotation ...object classification were ...with and without outliers was the same for each value of ...correct, and could perform a correct pattern ...
8
Equilibrating the recognition of the minority Class in the imbalance context
... In pattern recognition, it is well known that the classifier performance depends on the classification rule and the complexities presented in the data sets (such as class overlapping, class ...
10
Pattern recognition in medical images using neural networks
... Something similar happens with cell count. In general, every histologic sample has certain associated normality values that characterize the cell populations forming it. This allows the specialist, based on groupings of ...
5
Dimensionality Reduction for Automatic Pattern Recognition on Biosignals
... selection and feature extraction techniques are ...reduction and classification expose better performance for feature selection than for feature extraction; nevertheless, the statistical nature of ...
6
Contribution of artificial metaplasticity to pattern recognition
... control and decision ...controller and neural network structure and learning abilities into an integrated neural network-based fuzzy logic control and decision ...(self-organized) and ...
282
A pattern recognition strategy for visual grape bunch detection in vineyards
... wine and table grape industry could help increase the efficiency in crop monitoring, fertilization, management, phenotyping and ...berries recognition and grape bunch detection on vineyards in ...
69
Measuring external face appearance for face classification
... general pattern of results suggesting that for the recognition of unfamiliar faces external features are more important that internal features (Bruce et ...
18
Neural networks and SVM-based classification of leukocytes using the morphological pattern spectrum
... or pattern spectrum, as a feature extractor of discriminating characteristics in micro- scopic leukocytes images for classification ...youngest and oldest extremes, respectively. A feature vector ...
17
Detection and pattern recognition applied to leaves and chromosomes
... proper classification we have two stages, the first one is Detection where we are going to eliminate all the background or non useful things which are not relevant, sticking to the object itself; The second stage ...
17
TítuloImproving detection of apneic events by learning from examples and treatment of missing data
... Classification trees are used to predict membership of cases or objects in the classes of a categorical dependent variable from their measurements on one or more predictor variables. In these tree structures, ...
11
Robust and affordable localization and mapping for 3D reconstruction. Application to architecture and construction
... formats and ground truths provided by these sequences have been normalized so that they can be com- pared following the same ...accuracy, and robustness of the trajectories esti- mated by KN-SLAM and ...
199
Integrating defeasible argumentation with fuzzy ART neural networks for pattern classification
... learning and argumentation is a recent ...techniques and argu- mentation ...networks and rule sets [21], rules are used to initialize the neural network weights, whereas we use defeasible rules for ...
7
DNLM MA P: A Parallelization of the Deceived Non Local Means Filter with Moving Average and Symmetric Weighting
... bandwidth and good timing to help hide the main memory latency ...cores and 1MByte of shared L2 ...21×21, and a neighborhood window size of W = ..., and image size ...
7
Computer simulation of an excess proton in aqueous systems
... velocity, and energy of each particle at every time point considered in our under study PT ...available and thus quantities defined in terms of atomic motion or position can be investigated in addition to ...
157
MATLAB algorithm and VHDL modules for morphologic detection, recognition and classification of cells in clinical analysis for implementation on FPGAs: its design and development
... Hematology analyzers are more accurate than the manual count for leukocyte elaboration under standard circumstances. For example, the hematology analyzers used in the Hematology Laboratories generate a five-part ...
79
Monocular-SLAM dense mapping algorithm and hardware architecture for FPGA acceleration
... scene and its projection in the plane of the image [66, 102, 128, ...linear/dependent pattern for the ego-motion estimation, as shown in ...closer and non-coplanar, and then, iterate until a ...
174
Correlaciones para el reconocimiento de imágenes de intensidad (2D) y de rango (3D).
... The problem of rotations is by far more complex than the shifts. Two particular cases have been addressed in the bibliography. In Ref. [22] circular harmonic components are used to achieve full rotation invariance under ...
13
What is the use of the notion of the struggle of recognition? = ¿A qué sirve la noción de un conflicto de reconocimiento?
... the recognition (or lack thereof) of my individual ...action and a context of action in which others ...agent and his partners, through the rules of interaction, produce effects of recognition ...
12
Human body analysis using depth data
... filtering, and local ...estimation and cover possible non-rigid deforma- tions of the body, such as moving ...Sundaresan and Chellappa [SC09] predict pose estimation from silhouettes and 2D/3D ...
160