A recent neuro-spiking coding scheme for feature extraction from biosonar echoes of various plants is examined with a variety of stochastic classifiers. Feature vectors derived are employed in well-known stochastic classifiers, including nearest-neighborhood, single Gaussian and a Gaussian mixture with EM optimization. Classifiers’ performances are evaluated by using cross-validation and bootst...

A. Introduction Recommendation systems are an active topic in research and industry. The technique of collaborative filtering is especially successful in generating personalized recommendations. More than a decade of research has resulted in numerous algorithms, out of which, we have chosen K-Nearest Neighborhood (K-NN) model to predict the ratings for the songs. This model is an item-based alg...

Nearest Neighbor Search plays a vital role in building road-maps in Motion Planning. These are implemented in any Road-map building method such as PRM, OBPRM, Gauss PRM, etc. Motion Planning is the science of designing a successfully implementable plan in any Configuration Space (often called C-space) in order to move the Robot from a given Start Configuration to a Goal Configuration by avoidin...

Morphological Neural Networks (MNN) have been proposed as associative memories (with its two cases: autoassociative and heteroassociative). In this paper we are involved with Heteroassociative MNN (HMNN). We propose their use for selflocalization in a vision-based navigation framework for mobile robots. HMNN can be trained in a single computation step. Their storage capacity bound is the dimens...

F rom an evolutionary perspective, facial expressions of fear convey highly recognizable emotional signals that serve adaptive functions by promoting survival and reproductive success (1). Current theories of how the brain interprets facial expressions of fear implicate the mirror neuron network (MNN) in echoing the emotional states of others by internal simulation (2,3). Originally discovered ...