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» Fine-grained object recognition in underwater visual data
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ICCV
2007
IEEE
13 years 12 months ago
Latent Model Clustering and Applications to Visual Recognition
We consider clustering situations in which the pairwise affinity between data points depends on a latent ”context” variable. For example, when clustering features arising fro...
Simon Polak, Amnon Shashua

Book
279views
15 years 4 months ago
Visual Reconstruction
"This is a book about the problem of vision. How is it that a torrent of data from a television camera, or from biological visual receptors, can be reduced to perceptions - th...
Andrew Blake, Andrew Zisserman
CVPR
2010
IEEE
14 years 2 months ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick
AAAI
2008
13 years 8 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
ICCV
2009
IEEE
13 years 3 months ago
Efficient multi-label ranking for multi-class learning: Application to object recognition
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Ron...