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» Unsupervised Feature Selection Using Feature Similarity
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97
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EMNLP
2010
14 years 10 months ago
Summarizing Contrastive Viewpoints in Opinionated Text
This paper presents a two-stage approach to summarizing multiple contrastive viewpoints in opinionated text. In the first stage, we use an unsupervised probabilistic approach to m...
Michael Paul, ChengXiang Zhai, Roxana Girju
VIP
2003
15 years 1 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
99
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Constrained discriminative mapping transforms for unsupervised speaker adaptation
Discriminative mapping transforms (DMTs) is an approach to robustly adding discriminative training to unsupervised linear adaptation transforms. In unsupervised adaptation DMTs ar...
Langzhou Chen, Mark J. F. Gales, K. K. Chin
116
Voted
CVPR
2003
IEEE
16 years 2 months ago
Multi-scale Phase-based Local Features
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
Gustavo Carneiro, Allan D. Jepson
84
Voted
ICML
2010
IEEE
15 years 1 months ago
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
Zeeshan Syed, Ilan Rubinfeld