This paper presents a two-stage approach to speech recognition that is suited for information retrieval tasks, e.g. accessing a large telephone directory. The rst stage performs a Viterbi beam search to decode the speech input into a sequence of phonemes. The second stage performs a graph search to match the phoneme sequence with a large list of keywords. The key issue is that the rst step empl...

This paper explores a new application of structured illumination to determine the position of a microscope stage. Measuring stage position accurately is important for any experiment that spans multiple fields of view. The structured illumination pattern is provided by a design printed on the microscope slide or cover slip that modulates the image of the specimen. A novel application of frequenc...

Brain waves are proposed as a biometric for verification of the identities of individuals in a small group. The approach is based on a novel two-stage biometric authentication method that minimizes both false accept error (FAE) and false reject error (FRE). These brain waves (or electroencephalogram (EEG) signals) are recorded while the user performs either one or several thought activities. As...

  Brucella melitensis and Brucella abortus are of the most important causes of brucellosis, an infectious disease which is transmitted either directly or indirectly including consuming unpasteurized dairy products. Both strains are considered endemic in Iran. Common diagnostic methods such as bacteriologic cultures are difficult and time consuming regarding the bacteria. The aim of this study w...

A two-stage optimization method is presented by employing the evolutionary structural optimization (ESO) and ant colony optimization (ACO), which is called ESO-ACO method. To implement ESO-ACO, size optimization is performed using ESO, first. Then, the outcomes of ESO are employed to enhance ACO. In optimization process, the weight of double layer grid is minimized under various constraints whi...

Text-to-Pronunciation conversion is often used for speech synthesis and speech recognition-related systems. In this paper we present a data-driven, language-independent and multi-stage model for Text-to-Pronunciation conversion. With a Grapheme/Phoneme pair well aligned dictionary for training and utilizing a re-scoring strategy for those graphemes likely to be tagged erroneously, our model can...

This thesis is on fingerprint recognition method and system, more in detail, the layered fingerprint recognition method and system to compare not only the minutiae or singular point, but also compare the images of detailed area for making prompt and accurate comparison of fingerprint. Through the experiment that applies this theory, we have confirmed that there is a great improvement of verific...

In this paper, a new method for PPI (proteinprotein interaction) prediction is proposed. In PPI prediction, a reliable and sufficient number of training samples is not available, but a large number of unlabeled samples is in hand. In the proposed method, the denoising autoencoders are employed for learning robust features. The obtained robust features are used in order to train a classifier wit...

We present a new method that compresses sentences by removing words. In a first stage, it generates candidate compressions by removing branches from the source sentence’s dependency tree using a Maximum Entropy classifier. In a second stage, it chooses the best among the candidate compressions using a Support Vector Machine Regression model. Experimental results show that our method achieves st...

We consider the Sample Average Approximation (SAA) method for 2-stage stochastic optimization problems with recourse and prove a polynomial time convergence theorem for the SAA method. In the 2-stage recourse model, where one makes decisions in two steps. First, given only distributional information about (some of) the data, one commits on initial (first-stage) actions, and then once the actual...