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CVPR
2008
IEEE
14 years 7 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
ICC
2009
IEEE
182views Communications» more  ICC 2009»
13 years 11 months ago
Content Clustering Based Video Quality Prediction Model for MPEG4 Video Streaming over Wireless Networks
— The aim of this paper is quality prediction for streaming MPEG4 video sequences over wireless networks for all video content types. Video content has an impact on video quality...
Asiya Khan, Lingfen Sun, Emmanuel C. Ifeachor
CVPR
2004
IEEE
14 years 7 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
WWW
2008
ACM
14 years 5 months ago
Structured objects in owl: representation and reasoning
Applications of semantic technologies often require the representation of and reasoning with structured objects--that is, objects composed of parts connected in complex ways. Alth...
Boris Motik, Bernardo Cuenca Grau, Ulrike Sattler
DIS
2004
Springer
13 years 10 months ago
On the Convergence of Incremental Knowledge Base Construction.
Abstract. Ripple Down Rules is a practical methodology to build knowledgebased systems, which has proved successful in a wide range of commercial applications. However, little work...
Tri M. Cao, Eric Martin, Paul Compton