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» Measuring and Predicting Object Importance
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VTC
2007
IEEE
113views Communications» more  VTC 2007»
14 years 2 months ago
Channel Prediction Heuristics for Adaptive Modulation in WLAN
— Channel-adaptive techniques increase the efficiency of wireless communications, as they are efficient in coping with the quality variation of the wireless channels. However, ...
Ana Aguiar, Adam Wolisz
ICCV
2003
IEEE
14 years 10 months ago
A Novel Approach For Texture Shape Recovery
In vision and graphics, there is a sustained interest in capturing accurate 3D shape with various scanning devices. However, the resulting geometric representation is only part of...
Jing Wang 0008, Kristin J. Dana
ECCV
2010
Springer
14 years 1 months ago
A Discriminative Latent Model of Object Classes and Attributes
Abstract. We present a discriminatively trained model for joint modelling of object class labels (e.g. “person”, “dog”, “chair”, etc.) and their visual attributes (e.g....
ESWA
2008
134views more  ESWA 2008»
13 years 8 months ago
A novel method for measuring semantic similarity for XML schema matching
Enterprises integration has recently gained great attentions, as never before. The paper deals with an essential activity enabling seamless enterprises integration, that is, a sim...
Buhwan Jeong, Daewon Lee, Hyunbo Cho, Jaewook Lee
WWIC
2010
Springer
575views Communications» more  WWIC 2010»
14 years 1 months ago
Techniques for Measuring Quality of Experience
Quality of Experience (QoE) relates to how users perceive the quality of an application. To capture such a subjective measure, either by subjective tests or via objective tools, is...
Fernando A. Kuipers, Robert E. Kooij, Danny De Vle...