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» Semi-supervised Learning from General Unlabeled Data
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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 6 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
COLT
1999
Springer
15 years 8 months ago
On a Generalized Notion of Mistake Bounds
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Sanjay Jain, Arun Sharma
ICB
2009
Springer
184views Biometrics» more  ICB 2009»
15 years 11 months ago
Challenges and Research Directions for Adaptive Biometric Recognition Systems
Biometric authentication using mobile devices is becoming a convenient and important means to secure access to remote services such as telebanking and electronic transactions. Such...
Norman Poh, Rita Wong, Josef Kittler, Fabio Roli
CVPR
2004
IEEE
16 years 6 months ago
Value Directed Learning of Gestures and Facial Displays
This paper presents a method for learning decision theoretic models of facial expressions and gestures from video data. We consider that the meaning of a facial display or gesture...
Jesse Hoey, James J. Little
NIPS
2008
15 years 5 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell