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» Using Dual Cascading Learning Frameworks for Image Indexing
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CVPR
2008
IEEE
14 years 6 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
ECCV
2004
Springer
13 years 10 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ICPR
2010
IEEE
13 years 11 months ago
Automatic Pathology Annotation on Medical Images: A Statistical Machine Translation Framework
Large number of medical images are produced daily in hospitals and medical institutions, the needs to efficiently process, index, search and retrieve these images are great. In t...
Tianxia Gong, Shimiao Li, Chew-Lim Tan, Boon Chuan...
ICIP
2008
IEEE
13 years 11 months ago
Gradual transition detection using color coherence and other criteria in a video shot meta-segmentation framework
Shot segmentation provides the basis for almost all high-level video content analysis approaches, validating it as one of the major prerequisites for efficient video semantic ana...
Efthymia Tsamoura, Vasileios Mezaris, Ioannis Komp...
JMLR
2010
202views more  JMLR 2010»
12 years 11 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...