This paper describes a new method for analysis and segmentation of facial laser range data employing complex–valued non–orthogonal Gabor wavelets, principal component analysis and a topological mapping network. The initial data set consisting of shape and texture information is encoded in amplitude and phase of a complex 2D image function. A set of oriented Gabor filters performs a decompositio...

In all cerebellar-like structures, a multipolar principle neuron has spiny apical dendrites synapsing a superficial parallel fiber layer but also receives a second functionally and anatomically distinct input. The cerebellar-like first-order nuclei in the electrosensory system of teleost and non-teleost fishes filter reafference and other predictable stimuli out of the system. The mechanism by ...

This paper presents a method for tracking moving objects in an outdoor environment, classifying them into three categories: single person, people group or vehicle. The proposed method integrates motion, spatial position, shape and color information to track object blobs. The blobs are segmented using the pixel-wise difference with the background, which is automatically updated by a median filte...

Engine health monitoring has been an area of intensive research for more than three decades. Numerous methods have been developed with the goal of determining a faithful picture of the engine condition. It becomes largely admitted that a practical implementation of a monitoring tool will rely on an adequate fusion of some techniques. In this framework, the present contribution proposes an origi...

Optimization of filter banks based on the knowledge of input statistics has been of interest for a long time. Finite impulse response (FIR) Compaction filters are used in the design of optimal signal adapted orthonormal FIR filter banks. In this paper we discuss three different approaches for the design of interpolated finite impulse response (IFIR) compaction filters. In the first method, the ...

In this paper we discuss and compare two feature extraction techniques: histogram-based and Principal Component Analysis. Comparison is done on an analog filter fault diagnosis example performed in the frequency domain. Both techniques are implemented in a neural network system for the off-line diagnosis of electronic analog and mixed-signal circuits. The numerical and experimental examples of ...

Thin objects in 3D volumes, for instance vascular networks in medical imaging or various kinds of fibres in materials science, have been of interest for some time to computer vision. Particularly, tubular objects are everywhere elongated in one principal direction – which varies spatially – and are thin in the other two perpendicular directions. Filters for detecting such structures use for ins...

state estimation is the foundation of any control and decision making in power networks. the first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. this paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...

slow sand filters are as a proper technology for pre-treatment of raw water, with a fine and medium trubidity in small communities in developing countries. thus, with a minimum operation cost and minimum need for expest bodies have the maximum efficiency. the purpose of this research is carried out to evaluate the efficiency of two processes of horizontal flow roughing filter and vertical flow ...

BACKGROUND Minimotifs are short contiguous peptide sequences in proteins that are known to have a function in at least one other protein. One of the principal limitations in minimotif prediction is that false positives limit the usefulness of this approach. As a step toward resolving this problem we have built, implemented, and tested a new data-driven algorithm that reduces false-positive pred...