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» A Generative Model Based Approach to Motion Segmentation
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IEE
2007
120views more  IEE 2007»
15 years 3 months ago
Classification of model transformation techniques used in UML-based Web engineering
Software development techniques are continuously evolving with the goal of solving the main problems that still affect the building and maintenance of software systems: time, cost...
N. Koch
148
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ICML
2008
IEEE
16 years 4 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
127
Voted
ECML
2005
Springer
15 years 9 months ago
Multi-view Discriminative Sequential Learning
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
Ulf Brefeld, Christoph Büscher, Tobias Scheff...
142
Voted
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
16 years 1 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
183
Voted
CVPR
2009
IEEE
16 years 11 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...