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» Learning Models for Object Recognition
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AC
2002
Springer
15 years 3 months ago
Empirical Studies of Quality Models in Object-Oriented Systems
Measuring structural design properties of a software system, such as coupling, cohesion, or complexity, is a promising approach towards early quality assessments. To use such meas...
Lionel C. Briand, Jürgen Wüst
ESSLLI
2009
Springer
15 years 28 days ago
A Salience-Driven Approach to Speech Recognition for Human-Robot Interaction
We present an implemented model for speech recognition in natural environments which relies on contextual information about salient entities to prime utterance recognition. The hyp...
Pierre Lison
EMNLP
2008
15 years 4 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu
CVPR
2003
IEEE
16 years 5 months ago
Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition
Video-based recognition and prediction of a temporally extended activity can benefit from a detailed description of high-level expectations about the activity. Stochastic grammars...
David Minnen, Irfan A. Essa, Thad Starner
ECML
2007
Springer
15 years 7 months ago
Efficient Computation of Recursive Principal Component Analysis for Structured Input
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...
Alessandro Sperduti