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» Learning minimal abstractions
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106
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MICRO
2007
IEEE
113views Hardware» more  MICRO 2007»
15 years 3 days ago
The High Cost of a Cheap Lesson
y abstract, it is grounded in the experience of many markets. As I will illustrate, it explains much strategic behavior. Information spreads With a bit of effort, any technically s...
Shane Greenstein
112
Voted
RAS
2007
132views more  RAS 2007»
15 years 2 days ago
Virtual sensors for human concepts - Building detection by an outdoor mobile robot
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We suggest to use a virtual sensor (one or several physic...
Martin Persson, Tom Duckett, Achim J. Lilienthal
162
Voted
VLSISP
2010
254views more  VLSISP 2010»
14 years 11 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
118
Voted
ICMLA
2010
14 years 10 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
123
Voted
ACCV
2010
Springer
14 years 7 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan