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» Learning semantic object parts for object categorization
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PAMI
2008
250views more  PAMI 2008»
15 years 4 months ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ECCV
2010
Springer
15 years 7 months ago
What does classifying more than 10,000 image categories tell us?
Image classification is a critical task for both humans and computers. One of the challenges lies in the large scale of the semantic space. In particular, humans can recognize tens...
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VLDB
2005
ACM
175views Database» more  VLDB 2005»
15 years 9 months ago
Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces
The skyline operator is important for multicriteria decision making applications. Although many recent studies developed efficient methods to compute skyline objects in a specifi...
Jian Pei, Wen Jin, Martin Ester, Yufei Tao
CVPR
2009
IEEE
16 years 11 months ago
Efficient Kernels for Identifying Unbounded-Order Spatial Features
Higher order spatial features, such as doublets or triplets have been used to incorporate spatial information into the bag-of-local-features model. Due to computational limits, ...
Yimeng Zhang (Carnegie Mellon University), Tsuhan ...