This paper focuses on the optimal weighting of the components of a rotation invariant feature vector. This feature descriptor is not expected to be outstanding in performance, it is published here to illustrate the mathematics of the tuning problem. Theoretical tools are used to find proper distance functions. It is assumed, that the resulting error is properly expressed as the sum of squared p...

An algorithm that shows how ray divergence in multi-view stereo scene reconstruction can be used towards improving bundle adjustment weighting and conditioning is presented. Starting with a set of feature tracks, ray divergence when attempting to compute scene structure for each track is first obtained. Assuming accurate feature matching, ray divergence reveals mainly camera parameter estimatio...

Human perception and action are tailored to the situation at hand, and thus reflect the current intentions of the perceiver/actor. We suggest that this is achieved by an "intentional-weighting" mechanism. It operates on the cognitive representations of the features of perceived events and produced event--perceptions and actions that is. Intention- or goal-related feature dimensions are weighted...

In this paper, we propose the use of modified Hough transforms to efficiently extract object feature parameters, which are usually contaminated by heavily noisy corrugation and discontinuity. The modified HT (MHT) is developed by introducing spatial and parameter weighting functions to improve the detection performance for the traditional Hough transform (HT), which generally fails to robustly ...

This work presents a study about feature selection and weighting for improving the recognition of handwritten words coming from Brazilian bank check lexicon. For this purpose, two global optimization methods are used: Tabu Search(TS) and Simulated Annealing(SA). These methods were combined with k-NN composing two hybrid approaches for features selection and weighting: SA/k-NN and TS/k-NN. The r...

A feature-based algorithm for spike sorting involving intelligent feature-weighting mechanism." MS ACKNOWLEDGEMENT It gives me great pleasure to present my Master's thesis titled 'A feature-based algorithm for spike sorting involving intelligent feature-weighting mechanism' in partial fulfillment of my MS degree in Electrical and Computer Engineering. suggestions throughout the research work. H...

In this paper, we give an overview of the PicToSeek system for exploring visual information on the World Wide Web. PicToSeek automatically collects, indexes and catalogs visual information entirely on the basis of the pictorial content. PicToSeek allows for content-based image retrieval conducted in an interactive, iterative manner guided by the user by relevance feedback. Relevance feedback ca...

The nearest neighbor rule is one of the most representative methods in data mining. In recent years, a great amount of proposals have arisen for improving its performance. Among them, instance selection is highlighted due to its capabilities for improving the accuracy of the classifier and its efficiency simultaneously, by editing noise and reducing considerably the size of the training set. It...

AN EFFICIENT UNIFORM GENE SELECTION FOR MICRO ARRAY DATA VIA HYBRID WEIGHTING 1 G. Baskar, 2 Dr.P.Ponmuthuramalingam 1 PhD Research Scholar, 2 Associate Professor & Head Department of Computer Science Government Arts College (Autonomous) Coimbatore, Tamil Nadu, INDIA _____________________________________________________________ Abstract:Feature Selection is a common standard method used for gen...

Temporally weighted linear predictive methods have recently been successfully used for robust feature extraction in speech and speaker recognition. This paper introduces their general formulation, where various efficient temporal weighting functions can be included in the optimization of the all-pole coefficients of a linear predictive model. Temporal weighting is imposed by multiplying element...