We propose a new technique for normalizing likelihood of multiple classifiers prior to their combination. During a combination process we utilize the information about their efficiency correctly recognize a character with a given stroke number. In the beginning, we show that this recognizer’s efficiency based on a stroke number is different for a common on-line and off-line recognizer. Later, w...

A novel explanation of judgments by experts about the likely outcome of events is presented. It is proposed that these judgments are derived from a combination of the likelihood of every known risk factor that could affect the outcome of the uncertain event, each weighted by the chance recalling that risk. To test this proposal, an ACT-R model was developed in a study of Royal Navy officers. Ea...

This paper presents a new approach to combine cross-correlation functions. The combination is based on a maximum-likelihood approach and uses a non-linear combination scheme. It can be effective for radial-velocity analysis of multi-order spectra, or for analysis of multiple exposures of the same object. Simulations are presented to show the potential of the suggested combination scheme. The te...

This paper presents a probabilistic framework of assembling detected human body parts into a full 2D human configuration. The face, torso, legs and hands are detected in cluttered scenes using boosted body part detectors trained by AdaBoost. Body configurations are assembled from the detected parts using RANSAC, and a coarse heuristic is applied to eliminate obvious outliers. An a priori mixtur...

In this paper a method of integrating a model of suprasegmental duration with a HMM-based recogniser at the post-processing level is presented. The N-Best utterance output is rescored using a suitable linear combination of acoustic log-likelihood (provided by a set of tied-state triphone HMMs) and duration log-likelihood (provided by a set of durational models). The durational model used in the...

This paper deals with several adaptation techniques, which are of the importance in cases when the identity of a speaker is known and we want to recognize his speech. We are using three different methods, namely Maximum Apriori Probability adaptation, Maximum Likelihood Linear Regression and Constrained Maximum Likelihood Linear Regression. Each of the methods yields various benefits, therefore...

Testing for the equivalence of two treatments has received attention in recent literature. Solutions typically considered are based on likelihood methods and the intersection-union (IU) principle. The IU principle focuses on the investigation of the equivalence between two treatments; that is a true equivalence has to be identified with a probability converging to one. The goal of this paper is...