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111
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CVPR
2005
IEEE
16 years 4 months ago
Semi-Supervised Adapted HMMs for Unusual Event Detection
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain...
128
Voted
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 2 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
121
Voted
AAAI
2010
15 years 3 months ago
Cost-Sensitive Semi-Supervised Support Vector Machine
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
113
Voted
NAACL
2010
15 years 7 days ago
Minimally-Supervised Extraction of Entities from Text Advertisements
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
Sameer Singh, Dustin Hillard, Chris Leggetter
ICSE
2003
IEEE-ACM
16 years 2 months ago
On The Supervision and Assessment Of Part-Time Postgraduate Software Engineering Projects
This paper describes existing practices in the supervision and assessment of projects undertaken by part-time, postgraduate students in Software Engineering. It considers this asp...
Andrew Simpson, Andrew Martin, Jeremy Gibbons, Jim...