The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We explore the use of sequential, mistake-driven updates for online learning and acoustic feature adaptation in large-margin hidden Markov models (HMMs). The updates are applied to the parameters of acoustic models after the decoding of individual training utterances. For large-margin training, the updates attempt to separate the log-likelihoods of correct and incorrect transcriptions by an amount...
We consider how to optimize the acoustic features used by hidden Markov models (HMMs) for automatic speech recognition (ASR). We investigate a mistake-driven algorithm that discriminatively reweights the acoustic features in order to separate the log-likelihoods of correct and incorrect transcriptions by a large margin. The algorithm simultaneously optimizes the HMM parameters in the back end by adapting...
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images from the same category should be less than the distance between images from different categories. We use patch-based feature vectors common in object recognition work as a basis for our image-to-image distance functions....
A novel printed planar invert-F antenna (PIFA) is developed. By introducing a parasitical radiation element, this novel antenna achieves a wider impedance bandwidth than that of a traditional PIFA. The printed antenna is fed by a simple coplanar waveguide (CPW) structure that can provide consistent characteristic impedance over a very wide bandwidth. A prototype of the proposed antenna has been constructed...
In this paper we compare three frameworks for discriminative training of continuous-density hidden Markov models (CD-HMMs). Specifically, we compare two popular frameworks, based on conditional maximum likelihood (CML) and minimum classification error (MCE), to a new framework based on margin maximization. Unlike CML and MCE, our formulation of large margin training explicitly penalizes incorrect...
We develop a framework for large margin classification by Gaussian mixture models (GMMs). Large margin GMMs have many parallels to support vector machines (SVMs) but use ellipsoids to model classes instead of half-spaces. Model parameters are trained discriminatively to maximize the margin of correct classification, as measured in terms of Mahalanobis distances. The required optimization is convex...
Ferrite grid is generally used in EMC anechoic chamber combined with the urethane pyramids to get good absorbing effect. Grid has superior performance than ferrite tile. This paper gives some key points in the modeling of the grid, including the disposal for dispersive material and boundary condition. Then some simulated results from different aspect are presented to get some guidelines for designing
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.