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BMVC
2010
14 years 8 months ago
Accounting for the Relative Importance of Objects in Image Retrieval
We introduce a method for image retrieval that leverages the implicit information about object importance conveyed by the list of keyword tags a person supplies for an image. We p...
Sung Ju Hwang, Kristen Grauman
ICPR
2010
IEEE
14 years 8 months ago
Variational Mixture of Experts for Classification with Applications to Landmine Detection
Abstract--In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; and (3) apply th...
Seniha Esen Yuksel, Paul D. Gader
CVPR
2011
IEEE
14 years 6 months ago
Interactively Building a Discriminative Vocabulary of Nameable Attributes
Human-nameable visual attributes offer many advantages when used as mid-level features for object recognition, but existing techniques to gather relevant attributes can be ineffici...
Devi Parikh, Kristen Grauman
CVPR
2011
IEEE
14 years 6 months ago
Learning the Easy Things First: Self-Paced Visual Category Discovery
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
Yong Jae Lee, Kristen Grauman
CVPR
2011
IEEE
14 years 6 months ago
Clues from the Beaten Path: Location Estimation with Bursty Sequences of Tourist Photos
Image-based location estimation methods typically recognize every photo independently, and their resulting reliance on strong visual feature matches makes them most suited for dis...
Chao-Yeh Chen, Kristen Grauman