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490
A survey of multi-source domain adaptation
"... Abstract In many machine learning algorithms, a major assumption is that the training and the test samples are in the same feature space and have the same distribution. However, for many real applications this assumption does not hold. In domains and the target domains are different but related to ..."
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to some extent; the learners can learn some information from the source domains for the learning of the target domains. We focus on the multi-source domain adaptation problem where there is more than one source domain available together with only one target domain. A key issue is how to select good
Multi-Source Domain Adaptation: A Causal View
"... This paper is concerned with the problem of domain adaptation with multiple sources from a causal point of view. In particular, we use causal models to represent the relationship between the features X and class la-bel Y, and consider possible situations where different modules of the causal model c ..."
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This paper is concerned with the problem of domain adaptation with multiple sources from a causal point of view. In particular, we use causal models to represent the relationship between the features X and class la-bel Y, and consider possible situations where different modules of the causal model
A COMPARATIVE STUDY ON ATTENTION-BASED RATE ADAPTATION FOR SCALABLE VIDEO CODING
"... We conduct subjective tests to evaluate the performance of scalable video coding with different spatial-domain bit-allocation methods, visual attention models, and motion feature extractors in the literature. For spatial-domain bit allocation, we use the selective enhancement and quality layer assig ..."
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for region-wise quality enhancement due to its frame-based allocation nature. Index Terms — Visual attention model, Scalable video coding, Perceptual coding, Video adaptation 1.
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
"... Discriminative learning when training and test data belong to different distributions is a challenging and complex task. Often times we have very few or no labeled data from the test or target distribution but may have plenty of labeled data from multiple related sources with different distributions ..."
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Cited by 10 (0 self)
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among multiple sources. We also provide a theoretical analysis on the generalization performance of the proposed multi-source domain adaptation formulation using the weighted Rademacher complexity measure. Empirical comparisons with existing state-of-the-art domain adaptation methods using three real
Multi-source domain adaptation and its application to early detection of fatigue
- In KDD
, 2011
"... We consider the characterization of muscle fatigue through noninvasive sensing mechanism such as surface electromyography (SEMG). While changes in the properties of SEMG signals with respect to muscle fatigue have been reported in the literature, the large variation in these signals across different ..."
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Cited by 9 (1 self)
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different individuals makes the task of modeling and classification of SEMG signals challenging. Indeed, the variation in SEMG parameters from subject to subject creates differences in the data distribution. In this paper, we propose a transfer learning framework based on the multi-source domain adaptation
A Multi-Source Domain Adaptation and Its Application to Early Detection of Fatigue
"... We consider the characterization of muscle fatigue through noninvasive sensing mechanism such as surface electromyography (SEMG). While changes in the properties of SEMG signals with respect to muscle fatigue have been reported in the literature, the large variation in these signals across different ..."
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different individuals makes the task of modeling and classification of SEMG signals challenging. Indeed, the variation in SEMG parameters from subject to subject creates differences in the data distribution. In this paper, we propose two transfer learning frameworks based on the multi-source domain
Design and Validation of HABTA: Human Attention-Based Task Allocator
"... Abstract. This paper addresses the development of an adaptive cooperative agent in a domain that suffers from human error in the allocation of attention. The design is discussed of a component of this adaptive agent, called Human Attention-Based Task Allocator (HABTA), capable of managing agent and ..."
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Cited by 4 (3 self)
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Abstract. This paper addresses the development of an adaptive cooperative agent in a domain that suffers from human error in the allocation of attention. The design is discussed of a component of this adaptive agent, called Human Attention-Based Task Allocator (HABTA), capable of managing agent
MUSE: a MUlti-Source Entity recognition system
, 2003
"... This paper describes a robust and easily adaptable system for named entity recognition from a variety of different text types. Most information extraction systems need to be customised according to the domain, either by collecting a large set of training data or by rewriting grammar rules, gazetteer ..."
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Cited by 2 (0 self)
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This paper describes a robust and easily adaptable system for named entity recognition from a variety of different text types. Most information extraction systems need to be customised according to the domain, either by collecting a large set of training data or by rewriting grammar rules
Active Bandwidth Sharing for Multi-Layered Video in Multi-Source Environments
"... Multicast distribution of multi-layered video is one of the most important challenges in current multimedia networks. Nevertheless, little attention has been devoted to the quality of the video at the receivers in multi-source environments. In this paper, we use the active networks paradigm for the ..."
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Multicast distribution of multi-layered video is one of the most important challenges in current multimedia networks. Nevertheless, little attention has been devoted to the quality of the video at the receivers in multi-source environments. In this paper, we use the active networks paradigm
Stars on Steroids: Fast Evaluation of Multi-source Star Twig Queries in RDBMS
"... Abstract. Despite a large body of work on XML twig query processing in rela-tional environment, systematic study of XML join evaluation has received little attention in the literature. In this paper, we propose a novel and non-traditional technique for fast evaluation of multi-source star twig queri ..."
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queries in a path materi-alization-based RDBMS. A multi-source star twig joins different XML documents on values in their nodes and the XQuery graph takes a star-shaped structure. Such queries are prevalent in several domains such as life sciences. Rather than follow-ing the conventional approach
Results 1 - 10
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490
