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ML
2008
ACM
13 years 7 months ago
Incremental exemplar learning schemes for classification on embedded devices
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
Ankur Jain, Daniel Nikovski
ICC
2007
IEEE
105views Communications» more  ICC 2007»
14 years 2 months ago
Frequency Recovery for Filter-Bank Multicarrier Transmission on Doubly-Selective Fading Channels
Abstract— In this paper we deal with carrier frequency estimation for filter-bank multicarrier burst transmission over timefrequency selective fading channels. Three open-loop a...
Michele Carta, Vincenzo Lottici, Ruggero Reggianni...
CIKM
2006
Springer
13 years 11 months ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed
AIPS
2009
13 years 8 months ago
Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing
Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a se...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
ICML
2006
IEEE
14 years 8 months ago
Totally corrective boosting algorithms that maximize the margin
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
Gunnar Rätsch, Jun Liao, Manfred K. Warmuth