نتایج جستجو برای: line detection with contours ldc
تعداد نتایج: 9547351 فیلتر نتایج به سال:
The visual abstraction procedure used in previous studies of declination was tested using 12 subjects who each fit the F0 contours of 19 spoken short simple sentences with baselines. These baselines were found to be poorly replicated the fitters. An objective all-points least-squares best-fit procedure was tested on this corpus and on a set of sentences that had been produced in both spontaneou...
This paper describes the LDC forced aligner which is designed to align audio and transcripts. Unlike existing forced aligners, LDC forced aligner can align partially transcribed audio files, and also audio files with large chunks of non-speech segments, such as noise, music, silence etc, by inserting optional wildcard phoneme sequences between sentence or paragraph boundaries. Based on the HTK ...
We present a multi level method for the Bellman equation of optimal control theory. The so called local defect correction (LDC) method uses a local ne grid to correct the solution in a critical area on the coarse grid. We formulate the method assuming a deterministic state equation and prove convergence and consistency results. Numerical results show, that the LDC method provides an accurate so...
in this study, a simple, rapid and selective method was developed for the determination of dexamethasone. the proposed method is based on inhibitory effect of dexamethasone on the oxidation of orange-g by bromate in sulfuric acid media. the reaction was followed spectrophotometrically at 478.5 nm (?max). under optimum experimental conditions, (72.6 ?mol l-1 of orange-g, 0.76 mol l-1 of h2so4, 0...
This paper proposes a bacterial foraging based approach for portfolio optimization problem. We develop an improved portfolio optimization model by introducing the endogenous and exogenous liquidity risk and the corresponding indexes are designed to measure the endogenous/exogenous liquidity risk, respectively. Bacterial foraging optimization (BFO) is employed to find the optimal set of portfoli...
The Linguistic Data Consortium (LDC) creates and provides language resources (LRs) including data, tools and specifications. In order to assess the impact of these LRs and to support both LR users and authors, LDC is collecting metadata about and URLs for research papers that introduce, describe, critique, extend or rely upon LDC LRs. Current collection efforts focus on papers published in jour...
SHAPE DETECTION BY PACKING CONTOURS Qihui Zhu Jianbo Shi Humans have an amazing ability to localize and recognize object shapes from natural images with various complexities, such as low contrast, overwhelming background clutter, large shape deformation and signicant occlusion. We typically recognize object shape as a whole the entire geometric conguration of image tokens and the context they a...
Detection of intrusions for early threat assessment requires the capability of distinguishing whether the intrusion is a human, an animal, or other objects. Most low-cost security systems use simple electronic motion detection sensors to monitor motion or the location of objects within the perimeter. Although cost effective, these systems suffer from high rates of false alarm, especially when m...
The Linguistic Data Consortium (LDC) has created various annotated linguistic data for a variety of common task evaluation programs and projects to create shared linguistic resources. The majority of these annotated linguistic data were created with highly customized annotation tools developed at LDC. The Annotation Graph Toolkit (AGTK) has been used as a primary infrastructure for annotation t...
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