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» Shape Discovery from Unlabeled Image Collections
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MICCAI
2009
Springer
14 years 4 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
CHI
2005
ACM
14 years 10 months ago
Evaluating navigational surrogate formats with divergent browsing tasks
Navigational surrogates are representations that stand for information resources within search engine result sets, e-commerce sites, and digital libraries. They also form the basi...
Andruid Kerne, Steven M. Smith, Hyun Choi, Ross Gr...
PAA
2006
13 years 9 months ago
Classifying image texture with statistical landscape features
This paper proposes to use three-dimensional information derived from the graph of an image function for texture description. The graph of an image function is a rumpled surface ap...
Cun Xu, Yan Chen
ECCV
2008
Springer
14 years 11 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
EPIA
2009
Springer
14 years 1 months ago
Semantic Image Search and Subset Selection for Classifier Training in Object Recognition
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
Rui Pereira, Luís Seabra Lopes, Augusto Sil...