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» Markov Random Field Models in Computer Vision
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IVC
2008
100views more  IVC 2008»
15 years 1 months ago
Attention can improve a simple model for object recognition
Object recognition is one of the most important tasks of the visual cortex. Even though it has been closely studied in the field of computer vision and neuroscience, the underlyin...
Edgar Bermudez Contreras, Hilary Buxton, Emmet Spi...
CHI
2008
ACM
16 years 2 months ago
Experience sampling for building predictive user models: a comparative study
Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
Ashish Kapoor, Eric Horvitz
CVPR
2007
IEEE
16 years 3 months ago
In Situ Evaluation of Tracking Algorithms Using Time Reversed Chains
Automatic evaluation of visual tracking algorithms in the absence of ground truth is a very challenging and important problem. In the context of online appearance modeling, there ...
Hao Wu, Aswin C. Sankaranarayanan, Rama Chellappa
BIBM
2008
IEEE
113views Bioinformatics» more  BIBM 2008»
15 years 8 months ago
Towards Site-Based Protein Functional Annotations
Abstract—The exact relationship between protein active centers and protein functions is unclear even after decades of intensive study. To improve the functional prediction abilit...
Seak Fei Lei, Jun Huan
119
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ECCV
2006
Springer
16 years 3 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker