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ICPR
2006
IEEE
16 years 4 months ago
Learning Mixtures of Offline and Online features for Handwritten Stroke Recognition
In this paper we propose a novel scheme to combine offline and online features of handwritten strokes. The stateof-the-art methods in handwritten stroke recognition have used a pr...
C. V. Jawahar, Karteek Alahari, Satya Lahari Putre...
124
Voted
CSEE
2000
Springer
15 years 8 months ago
Lessons Learned from Teaching Software Engineering to Adult Students
Teaching provides many challenges. Presenting Software Engineering to students brings a teacher face to face with a most unwieldy subject. Packaging this subject for delivery to a...
James J. Cusick
ICML
2009
IEEE
16 years 4 months ago
A simpler unified analysis of budget perceptrons
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
Ilya Sutskever
ICML
2008
IEEE
16 years 4 months ago
The skew spectrum of graphs
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
Risi Imre Kondor, Karsten M. Borgwardt
131
Voted
COLT
2008
Springer
15 years 5 months ago
Linear Algorithms for Online Multitask Classification
We design and analyze interacting online algorithms for multitask classification that perform better than independent learners whenever the tasks are related in a certain sense. W...
Giovanni Cavallanti, Nicolò Cesa-Bianchi, C...