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2007
129views Robotics» more  RSS 2007»
15 years 7 months ago
Spatially-Adaptive Learning Rates for Online Incremental SLAM
— Several recent algorithms have formulated the SLAM problem in terms of non-linear pose graph optimization. These algorithms are attractive because they offer lower computationa...
Edwin Olson, John J. Leonard, Seth J. Teller
SDL
2007
152views Hardware» more  SDL 2007»
15 years 7 months ago
TTCN-3 Quality Engineering: Using Learning Techniques to Evaluate Metric Sets
Software metrics are an essential means to assess software quality. For the assessment of software quality, typically sets of complementing metrics are used since individual metric...
Edith Werner, Jens Grabowski, Helmut Neukirchen, N...
CATE
2004
168views Education» more  CATE 2004»
15 years 7 months ago
Remote e-Learning System for Schools
Experience from the management of distributed computer-based learning resources in schools has been proven to be inefficient and costly. Though commercial software packages are av...
Kai-Pan Mark, Sheung-lun Hung, William Tsang
SODA
2003
ACM
132views Algorithms» more  SODA 2003»
15 years 7 months ago
Online learning in online auctions
We consider the problem of revenue maximization in online auctions, that is, auctions in which bids are received and dealt with one-by-one. In this note, we demonstrate that resul...
Avrim Blum, Vijay Kumar, Atri Rudra, Felix Wu
PAMI
2008
135views more  PAMI 2008»
15 years 6 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun