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» A Framework for Multiple-Instance Learning
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CVPR
2009
IEEE
15 years 2 months ago
Automated Extraction of Signs from Continuous Sign Language Sentences using Iterated Conditional Modes
Recognition of signs in sentences requires a training set constructed out of signs found in continuous sentences. Currently, this is done manually, which is a tedious process. I...
Barbara L. Loeding, Sudeep Sarkar, Sunita Nayak
IDA
2005
Springer
14 years 1 months ago
Removing Statistical Biases in Unsupervised Sequence Learning
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
Yoav Horman, Gal A. Kaminka
BTW
2009
Springer
99views Database» more  BTW 2009»
13 years 11 months ago
A Framework for Reasoning about Share Equivalence and Its Integration into a Plan Generator
: Very recently, Cao et al. presented the MAPLE approach, which accelerates queries with multiple instances of the same relation by sharing their scan operator. The principal idea ...
Thomas Neumann, Guido Moerkotte
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
14 years 2 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
ICCV
2009
IEEE
15 years 21 days ago
Joint learning of visual attributes, object classes and visual saliency
We present a method to learn visual attributes (eg.“red”, “metal”, “spotted”) and object classes (eg. “car”, “dress”, “umbrella”) together. We assume imag...
Gang Wang, David Forsyth