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» Learning Generative Models via Discriminative Approaches
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ATAL
2007
Springer
15 years 6 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
113
Voted
SDM
2012
SIAM
261views Data Mining» more  SDM 2012»
13 years 3 months ago
Combining Active Learning and Dynamic Dimensionality Reduction
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Mustafa Bilgic
105
Voted
IRI
2005
IEEE
15 years 6 months ago
Data integration for capital projects via community-specific conceptual representations
Although data integration has been a research subject for decades in the AEC (Architecture Engineering Construction) industry whose data is usually highly fragmented, nowadays we ...
Yimin Zhu, Mei-Ling Shyu, Shu-Ching Chen
102
Voted
ICPR
2010
IEEE
15 years 7 months ago
Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
Steven Cadavid, Mohamed Abdel-Mottaleb
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 1 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...