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» An adaptive graph model for automatic image annotation
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CVPR
2009
IEEE
15 years 4 months ago
Random walks on graphs to model saliency in images
We formulate the problem of salient region detection in images as Markov random walks performed on images represented as graphs. While the global properties of the image are extra...
Viswanath Gopalakrishnan, Yiqun Hu, Deepu Rajan
IJDLS
2010
131views more  IJDLS 2010»
14 years 7 months ago
Annotating Historical Archives of Images
Recent initiatives like the Million Book Project and Google Print Library Project have already archived several million books in digital format, and within a few years a significa...
Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christi...
EMNLP
2007
14 years 11 months ago
Using Semantic Roles to Improve Question Answering
Shallow semantic parsing, the automatic identification and labeling of sentential constituents, has recently received much attention. Our work examines whether semantic role info...
Dan Shen, Mirella Lapata
CAIP
2001
Springer
165views Image Analysis» more  CAIP 2001»
15 years 2 months ago
A New Approach for Model-Based Adaptive Region Growing in Medical Image Analysis
Abstract. Interaction increases flexibility of segmentation but it leads to undesirable behaviour of an algorithm if knowledge being requested is inappropriate. In region growing, ...
Regina Pohle, Klaus D. Tönnies
ICASSP
2010
IEEE
14 years 10 months ago
Automatic audio tagging using covariate shift adaptation
Automatically annotating or tagging unlabeled audio files has several applications, such as database organization and recommender systems. We are interested in the case where the...
Gordon Wichern, Makoto Yamada, Harvey D. Thornburg...