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AAAI
2011
14 years 4 months ago
Effective End-User Interaction with Machine Learning
End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can cr...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
ICMI
2003
Springer
166views Biometrics» more  ICMI 2003»
15 years 9 months ago
Georgia tech gesture toolkit: supporting experiments in gesture recognition
Gesture recognition is becoming a more common interaction tool in the fields of ubiquitous and wearable computing. Designing a system to perform gesture recognition, however, can...
Tracy L. Westeyn, Helene Brashear, Amin Atrash, Th...
NIPS
2003
15 years 6 months ago
A Classification-based Cocktail-party Processor
At a cocktail party, a listener can selectively attend to a single voice and filter out other acoustical interferences. How to simulate this perceptual ability remains a great cha...
Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
BMCBI
2006
95views more  BMCBI 2006»
15 years 4 months ago
Predicting DNA-binding sites of proteins from amino acid sequence
Background: Understanding the molecular details of protein-DNA interactions is critical for deciphering the mechanisms of gene regulation. We present a machine learning approach f...
Changhui Yan, Michael Terribilini, Feihong Wu, Rob...
HCI
2009
15 years 2 months ago
Did I Get It Right: Head Gestures Analysis for Human-Machine Interactions
This paper presents a system for another input modality in a multimodal human-machine interaction scenario. In addition to other common input modalities, e.g. speech, we extract he...
Jürgen Gast, Alexander Bannat, Tobias Rehrl, ...