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117
Voted
COLT
1999
Springer
15 years 7 months ago
1999
Springer
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 ...
146
Voted
COLT
2010
Springer
15 years 23 days ago
2010
Springer
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
104
Voted
ALT
2009
Springer
15 years 6 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
107
Voted
CHI
2007
ACM
16 years 3 months ago
2007
ACM
Sensor-based statistical models promise to support a variety of advances in human-computer interaction, but building applications that use them is currently difficult and potentia...
158
Voted
TCSV
2008
15 years 2 months ago
2008
Abstract--This paper presents a survey of trajectory-based activity analysis for visual surveillance. It describes techniques that use trajectory data to define a general set of ac...