Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB

By T. Rao. 2004

616 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/434815bfe548311a8872b18170d0a6473ba65aaa

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In Signal Processing

Citations in the corpus

Emotional speech recognition: Resources, features, and methods (2006, methodology): “An interesting property of ANNs is that by changing the number of hidden nodes and hidden layers we control the non-linear decision boundaries between the emotional states (Haykin, 1998; van der Heijden et al., 2004).”
Feature Mining for Hyperspectral Image Classification (2013, methodology): “Further, unless a posterior probability function is specified, M 1 features are suboptimal in a Bayes sense, but are optimal based on the chosen criterion [105].”
Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey (2018, background): “In leaf nodes, the final result of classification is given [51].”
A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment (2012, background): “…posture does not hold for a long time (for case (d), a person ties his shoe lace and the ‘bend’ posture recovers to ‘stand’ posture in a short time), or the posture is not in the ground region (only a small portion of the human body region is in the ground), so they are not detected as falls.”
Pricing Mortality Securities with Correlated Mortality Indexes (2011, neutral): “In particular, they are able to deal with nonlinear, non-Gaussian systems, and variables in either continuous or discrete states as well as their combinations (Heijden et al., 2004).”
Heartbeat Classification Using Feature Selection Driven by Database Generalization Criteria (2011, methodology): “Under the assumption of normally distributed data, the MAP classification criterion leads to quadratic discriminant functions, broadly used for classification purposes [18].”
Gender classification in two Emotional Speech databases (2008, methodology): “The branch and bound search strategy using depth-first search and backtracking is employed, since its performance is near optimal [6].”
Hyperspectral discrimination of tropical dry forest lianas and trees: Comparative data reduction approaches at the leaf and canopy levels (2007, positive): “…were the log linear classifier (loglc), quadratic classifier (qdc), decision tree classifier (treec), neural network classifier (lmnc) with 2 – 5 layers and the k-nearest neighbour classifier with 2 and 3 nearest neighbours (Castro-Esau et al., 2004; Duin, 2000; van der Heijden et al., 2004).”