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multi-class recognition problems

Multi-class Protein Classification Using Adaptive Codes

Multi-class Protein Classification Using Adaptive Codes

... structural class from its amino acid sequence is a fundamental problem in computational ...one class and all the ...huge multi- class problem, with over 1000 protein folds and even more ...

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Contextual Bag-Of-Visual-Words and ECOC-Rank for Retrieval and Multi-class Object Recognition

Contextual Bag-Of-Visual-Words and ECOC-Rank for Retrieval and Multi-class Object Recognition

... Due to the huge number of bits involved in the traditional coding strate- gies, new problem-dependent designs have been proposed [46][47][48]. The new techniques are based on exploiting the problem domain by selecting ...

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Class imbalance ensemble learning based on the margin theory

Class imbalance ensemble learning based on the margin theory

... each class in a data set, plays a key role in any kind of machine-learning and data-mining ...from class imbalance. The class imbalance case has been reported to exist in a wide variety of real-world ...

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A robust SVM classification framework using PSM for multi-class recognition

A robust SVM classification framework using PSM for multi-class recognition

... But some ideal strong classifiers usually require a large number of training samples and very time-consuming training experiments. Even now, many researchers are still trying to solve these problems. Li et al. [4] ...

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Research on Intrusion Detection Algorithm Based on  Multi Class SVM in Wireless Sensor Networks

Research on Intrusion Detection Algorithm Based on Multi Class SVM in Wireless Sensor Networks

... pattern recognition and nonlinear problems ...handle multi-class prob- lems. As a result, research on SVM multi-class classifier has become a ...

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Multi objective evolution of artificial neural networks in multi class medical diagnosis problems with class imbalance

Multi objective evolution of artificial neural networks in multi class medical diagnosis problems with class imbalance

... normal class using the optimised multi-objective classifier is ...suspect class is significantly better using the CMA-PAES-HAGA trained ANN classifier ...

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Optimising ECOC matrices in multi-class classification problems

Optimising ECOC matrices in multi-class classification problems

... The main idea of classifier combination can be explained from real life: it is always better to decide about one issue after getting many different opinions from different sources rather than relying on just one source. ...

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Extrapolating Expected Accuracies for Large Multi-Class Problems

Extrapolating Expected Accuracies for Large Multi-Class Problems

... of multi-class classification generally increases with the number of ...each class, and identify tradeoffs between the two ...face recognition or character recognition ...

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Entropy-Based Model For Multi-Class Imbalanced Problems

Entropy-Based Model For Multi-Class Imbalanced Problems

... self-confident planning of people. A Multiview Parameter Free (MPF) model is proposed in this review. Taking into account the L1 and L2 standards, there are two changes to the Multiview grouping technique, the main part ...

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Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier

Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier

... a multi-class expo- nential loss ...the class of the ...to multi-class classifica- tion problems, where the smooth convex Fisher-consistent loss function is minimized by ...

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A learning framework for higher-order consistency models in multi-class pixel labeling problems

A learning framework for higher-order consistency models in multi-class pixel labeling problems

... In the previous chapters, we built a higher-order MRF model with consistency poten- tials and used it to solve multi-class pixel labeling problems. In practice, such com- puter vision applications ...

187

Utilizing Of Fractional Programming For Multi  Objective Multi  Item Solid Transportation Problems In Fuzzy Environment

Utilizing Of Fractional Programming For Multi Objective Multi Item Solid Transportation Problems In Fuzzy Environment

... objective linear fractional programming is applied for multi- item (FFMOMISTP) problem. To minimize the problem, the order relations which represent the decision maker's performance between fuzzy costs, supply, ...

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Feature Selection With Multi Objective Genetic Algorithm And Fuzzy Rule-Based Multiclassifiers For Cancer Classification

Feature Selection With Multi Objective Genetic Algorithm And Fuzzy Rule-Based Multiclassifiers For Cancer Classification

... the class with the highest accumulated degree is the one assigned to each component ...The class with the most votes among all the classifiers is selected as the final ...

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Multi-Class Support Vector Machine Based Continuous Voiced Odia Numerals Recognition

Multi-Class Support Vector Machine Based Continuous Voiced Odia Numerals Recognition

... numeral recognition is treated as a designing technique for a voiced dialer ...word recognition and digit/numeral recognition for different spoken languages with different parametric representation ...

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Generalized Bradley-Terry Models and Multi-Class Probability Estimates

Generalized Bradley-Terry Models and Multi-Class Probability Estimates

... Results of using the three criteria all indicate that the four encodings are quite com- petitive. Such an observation suggests that in practical problems class probabilities may resemble those specified in ...

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Automated target tracking and recognition using coupled view and identity manifolds for shape representation

Automated target tracking and recognition using coupled view and identity manifolds for shape representation

... features [5] etc. In [5] the target is represented by inten- sity and shape features and a self-organizing map is used for classification. Histogram-based representations were shown to be simple yet robust under ...

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Multi point boundary value problems for a class of Riemann Liouville fractional differential equations

Multi point boundary value problems for a class of Riemann Liouville fractional differential equations

... Fractional calculus is the study and application of arbitrary order differential and integral theory; see [–]. It is consistent with integer order calculus and a natural extension of the integer order calculus. ...

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Pruning of Error Correcting Output Codes by optimization of accuracy–diversity trade off

Pruning of Error Correcting Output Codes by optimization of accuracy–diversity trade off

... The proposed framework is novel, since optimising the accuracy/diversity trade-off for ECOC through pruning by using optimization has not previously been attempted. The closest approach is [47], but that is restricted to ...

18

Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing

Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing

... This work not only provides an optimal algorithm for crowdsourcing but provides new general insight into the method of moments. Empirical studies show that when the spectral method is used as an initialization for the EM ...

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Dendogram-based SVM for Multi-Class Classification

Dendogram-based SVM for Multi-Class Classification

... treat multi- class ...associated class. AHC decomposition uses distance measures to investigate the class grouping in binary form at each level in the ...for multi-class ...

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