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ICCV
2011
IEEE
12 years 9 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
DAGM
2011
Springer
12 years 9 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
ECCV
2002
Springer
14 years 11 months ago
A Comparison of Search Strategies for Geometric Branch and Bound Algorithms
Over the last decade, a number of methods for geometric matching based on a branch-and-bound approach have been proposed. Such algorithms work by recursively subdividing transforma...
Thomas M. Breuel
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 9 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
CHI
2008
ACM
14 years 9 months ago
Ingimp: introducing instrumentation to an end-user open source application
Open source projects are gradually incorporating usability methods into their development practices, but there are still many unmet needs. One particular need for nearly any open ...
Michael Terry, Matthew Kay, Brad Van Vugt, Brandon...