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AAAI
2006
15 years 5 months ago
Active Learning with Near Misses
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
Nela Gurevich, Shaul Markovitch, Ehud Rivlin
134
Voted
NIPS
2003
15 years 5 months ago
Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels
Decoding is a strategy that allows us to assess the amount of information neurons can provide about certain aspects of the visual scene. In this study, we develop a method based o...
Ryan Kelly, Tai Sing Lee
NIPS
2003
15 years 5 months ago
Eye Movements for Reward Maximization
Recent eye tracking studies in natural tasks suggest that there is a tight link between eye movements and goal directed motor actions. However, most existing models of human eye m...
Nathan Sprague, Dana H. Ballard
AAAI
1993
15 years 5 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar
SOFTVIS
2010
ACM
15 years 4 months ago
Towards anomaly comprehension: using structural compression to navigate profiling call-trees
Developers must often diagnose anomalies in programs they only have a partial knowledge of. As a result, they must simultaneously reverse engineer parts of the system they are unf...
Shen Lin 0003, François Taïani, Thomas...