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CVPR
2008
IEEE
16 years 1 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo
CVPR
2008
IEEE
16 years 1 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
MICCAI
2003
Springer
16 years 21 days ago
Visualization of Neural DTI Vector Fields Using Line Integral Convolution
Abstract. Diffusion Tensor Imaging (DTI) provides voxel-wise information related to the local diffusion anisotropy. Recent research efforts have centered around the use of this inf...
Sean C. L. Deoni, B. K. Rutt, Terry M. Peters
ICML
2007
IEEE
16 years 19 days ago
Dynamic hierarchical Markov random fields and their application to web data extraction
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
CHI
2007
ACM
16 years 6 days ago
Enhancing ubiquitous computing with user interpretation: field testing the home health horoscope
Domestic ubiquitous computing systems often rely on inferences about activities in the home, but the open-ended, dynamic and heterogeneous nature of the home poses serious problem...
William W. Gaver, Phoebe Sengers, Tobie Kerridge, ...