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» Meta-Evaluation of Image Segmentation Using Machine Learning
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116
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NIPS
2007
15 years 3 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
114
Voted
ICALT
2005
IEEE
15 years 7 months ago
Learning Units Design Based in Grid Computing
: The development of cooperative, flexible and reusable learning environments is a need in modern education. The IMS Learning Design specification has played a very important role ...
Leonel Iriarte Navarro, Manuel Marco Such, Alexand...
133
Voted
ECCV
2008
Springer
16 years 4 months ago
A Pose-Invariant Descriptor for Human Detection and Segmentation
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
Zhe Lin, Larry S. Davis
135
Voted
ECCV
2008
Springer
16 years 4 months ago
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
116
Voted
IJCV
2008
186views more  IJCV 2008»
15 years 2 months ago
Multi-Class Segmentation with Relative Location Prior
Multi-class image segmentation has made significant advances in recent years through the combination of local and global features. One important type of global feature is that of i...
Stephen Gould, Jim Rodgers, David Cohen, Gal Elida...