abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we ... more abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we present a novel graphbased pigment network detection method that can find and visualize round structures belonging to the pigment network. After finding sharp changes of the luminance image by an edge detection function, the resulting binary image is converted to a graph, and then all cyclic sub-graphs are detected. Theses cycles represent meshes that belong to the pigment network.
abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we ... more abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we present a novel graphbased pigment network detection method that can find and visualize round structures belonging to the pigment network. After finding sharp changes of the luminance image by an edge detection function, the resulting binary image is converted to a graph, and then all cyclic sub-graphs are detected. Theses cycles represent meshes that belong to the pigment network.
abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we ... more abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we present a novel graphbased pigment network detection method that can find and visualize round structures belonging to the pigment network. After finding sharp changes of the luminance image by an edge detection function, the resulting binary image is converted to a graph, and then all cyclic sub-graphs are detected. Theses cycles represent meshes that belong to the pigment network.
This paper describes Kriya-a new statistical machine translation (SMT) system that uses hierarchi... more This paper describes Kriya-a new statistical machine translation (SMT) system that uses hierarchical phrases, which were first introduced in the Hiero machine translation system (Chiang, 2007). Kriya supports both a grammar extraction module for synchronous context-free grammars (SCFGs) and a CKY-based decoder.
Abstract This paper describes our submissions for the WMT-12 translation task using Kriya-our hie... more Abstract This paper describes our submissions for the WMT-12 translation task using Kriya-our hierarchical phrase-based system. We submitted systems in French-English and English-Czech language pairs. In addition to the baseline system following the standard MT pipeline, we tried ensemble decoding for French-English. The ensemble decoding method improved the BLEU score by 0.4 points over the baseline in newstest-2011.
Abstract Statistical machine translation is often faced with the problem of combining training da... more Abstract Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate sentences in a new domain. We propose a novel approach, ensemble decoding, which combines a number of translation systems dynamically at the decoding step. In this paper, we evaluate performance on a domain adaptation setting where we translate sentences from the medical domain.
Statistical Machine Translation (SMT) is currently used in real-time and commercial settings to q... more Statistical Machine Translation (SMT) is currently used in real-time and commercial settings to quickly produce initial translations for a document which can later be edited by a human. The SMT models specialized for one domain often perform poorly when applied to other domains. The typical assumption that both training and testing data are drawn from the same distribution no longer applies. This paper evaluates domain adaptation techniques for SMT systems in the context of end-user feedback in a real world application.
abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we ... more abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we present a novel graphbased pigment network detection method that can find and visualize round structures belonging to the pigment network. After finding sharp changes of the luminance image by an edge detection function, the resulting binary image is converted to a graph, and then all cyclic sub-graphs are detected. Theses cycles represent meshes that belong to the pigment network.
abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we ... more abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we present a novel graphbased pigment network detection method that can find and visualize round structures belonging to the pigment network. After finding sharp changes of the luminance image by an edge detection function, the resulting binary image is converted to a graph, and then all cyclic sub-graphs are detected. Theses cycles represent meshes that belong to the pigment network.
abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we ... more abstract Detecting pigmented network is a crucial step for melanoma diagnosis. In this paper, we present a novel graphbased pigment network detection method that can find and visualize round structures belonging to the pigment network. After finding sharp changes of the luminance image by an edge detection function, the resulting binary image is converted to a graph, and then all cyclic sub-graphs are detected. Theses cycles represent meshes that belong to the pigment network.
This paper describes Kriya-a new statistical machine translation (SMT) system that uses hierarchi... more This paper describes Kriya-a new statistical machine translation (SMT) system that uses hierarchical phrases, which were first introduced in the Hiero machine translation system (Chiang, 2007). Kriya supports both a grammar extraction module for synchronous context-free grammars (SCFGs) and a CKY-based decoder.
Abstract This paper describes our submissions for the WMT-12 translation task using Kriya-our hie... more Abstract This paper describes our submissions for the WMT-12 translation task using Kriya-our hierarchical phrase-based system. We submitted systems in French-English and English-Czech language pairs. In addition to the baseline system following the standard MT pipeline, we tried ensemble decoding for French-English. The ensemble decoding method improved the BLEU score by 0.4 points over the baseline in newstest-2011.
Abstract Statistical machine translation is often faced with the problem of combining training da... more Abstract Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate sentences in a new domain. We propose a novel approach, ensemble decoding, which combines a number of translation systems dynamically at the decoding step. In this paper, we evaluate performance on a domain adaptation setting where we translate sentences from the medical domain.
Statistical Machine Translation (SMT) is currently used in real-time and commercial settings to q... more Statistical Machine Translation (SMT) is currently used in real-time and commercial settings to quickly produce initial translations for a document which can later be edited by a human. The SMT models specialized for one domain often perform poorly when applied to other domains. The typical assumption that both training and testing data are drawn from the same distribution no longer applies. This paper evaluates domain adaptation techniques for SMT systems in the context of end-user feedback in a real world application.
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